@YeGao0I finished the tutorial and the result is typical I think for a Bigram Model. I think next up is a N-gram Model or transformer-based model however I probably need to figure how to transfer the pre trained model to continue to train the model since google colab randomly cuts off after inactivity
@AlecLi0Not another AI Vtuber...
Cat in a dog's body? Originally started this project cause i wanted to train some models - i started by cobbling together some stt/tts/llm things and was going to replace them with my own models one by one but i never got around to that lol
Demo: youtu.be/oWw8YOoDlZg
Repo: github.com/li-yunshen-alec/ai
@JaTar0Hi, I have created a website that allows, using data from the Polish Train Driver 2 (TD2) simulator, to simulate the appearance of several Passenger Information Displays. It is based on my older project (KTIP). Currently the scenery that works best is Łapanów (but this changes over time)
Page: wtip.pages.dev
Repo: github.com/Ja-Tar/WTIP
@appleshoops0I made an iOS app that uses the NSW Transport APIs to give train data to users. I currently have a working map and a function to grab the needed data and next I'll display all of it on the map: github.com/Ibis-Inc/Ibis-Transport
@appleshoops0I made an iOS app that uses the NSW Transport APIs to give train data to users. I currently have a working map and a function to grab the needed data and next I'll display all of it on the map: github.com/Ibis-Inc/Ibis-Transport
@Z0transitHelper now includes GTFS data (to make it easier for everyone!) and now has a new routes folder with the stop names at each train line (still not finished, but working pretty well) github.com/ZarmDev/transitHelper
@RishiShah0I created my own voice virtual assistant called Zephyr. It detects my voice, and is a windows service on my machine. I am still developing it to be much better on my machine with the windows service, but the actual app uses NLP to detect your voice, identify key words, and then can do tasks, like creating events on your calendar, tell you the location in a specific place, has news information depending on whatever topic you want to converse about, and has music playback as it has access to spotify. I am going to 3D print an actual system for Zephyr where it lights up inside the little hub, and i can converse with it via raspberry Pi. I have started development on that part. But as of right now, in the first block, it has access to a bunch of apis. I am also creating a website for it and am going to add keybinds to it.
Here is the github repository for it:
github.com/RishiShah99/Zephyr
It speaks using pyttsx so the stuff printed is just to show see what state it is in right now.
@Stefan0I made a super-lightweight browser with Python, and PyQt5.
Short FAQ:
Is it better than Chrome? No
Am I going to use it? No
Is the browser actually good? If you don't care about design, and only want a simple browser, Zephyr's for you.
Repo: github.com/Naainz/Zephyr
@elliott0Finally a finished working version of my web app for keeping up with upcoming train times in Denmark. It now has all the planned features incorporated !!
Check out the deployed site here or the Github repository here.
@randomletters0this project isn't very user-accessible because it's about data collection, but I'm making the data public (and sharing it with open-source devs at Bellingcat!!)
took a while, but I managed to (the term my friend used was "german data laundering"... he wasn't far off) get electrical network frequency in europe data from some sketchy (very sketchy) server used by mainsfrequency.com with a lil CTF-type thinking. it gets data every second, writes it to a csv of data for the day, and creates a Parquet file at the end of every month... every now and then I have to interpolate some values but it's almost 100% accurate... once there's enough data, it'll be the only (as of right now, there is none at all 😔) complete ENF data of the european grid in the last year (and going forward it'll be the only data of the european grid of 2024/25 (and hopefully more!!))
this data would literally be impossible for me to collect or publish without #nest, tysm to everyone running nest!!
the repo is github.com/borisnezlobin/enf, and I'm gonna figure out a better way of publishing the data than through git commits... but for now the data (most days are incomplete as I worked on them, the 18th/19th are the most complete) is in the repo
next steps for this are to actually use this data to train a model, make a filter/extractor, and actually do ENF analysis!! none of which I have any clue how to make lol
note to reviewers: this isn't a job/commission, it's purely open source data
@PranavAggarwal0#arcade i created a backend model integrating it with llm model where by just giving a document of many types you can train your personal chatbot and then ask questions specifically related to that particular file or ask summary for it and also you will get response in http stream chat too
Github :- github.com/Pranav-1100/document
@Matthew-U05BA68DB6E0A little while ago, I designed and 3d printed a bunch of small trains to bring with me and give out on the Boreal Express
github.com/jedim101/train
I spent a lot of time designing & assembling theses trains, and I designed another car afterwards, with inspiration from the actual train
@pro-grammer0Here is the updated Perceptron model:
For those of you who don't know what I am creating it is basically a combination of many AI model and it is called Perceptron a model that can talk to you (the transfer learning model) only triggered by its name (Perceptron) and it also has manual resposes here are some examples: plays music, stops music, searches on google, searches on the wiki, gets the time, gets the weather and more...
Apart from the transfer learning model it also has an image recognition model that you can also train and when you say the word "image" when you talk it asks for the path and predicts what the image is!!!
It also has a sentiment analisis model that when you talk to Perceptron after it responds it (the sentiment analisis model) also tells you its prediction for how you are feeling example: happy, sad ...
Apart form that it also has another model, an object detection model that can find different objects in an image and show the original image but with the boxes for the different objects!!!
And the latest model is an OCR model (optical character recognition) what it does is it finds text in images and can tell you what it sees!!!
• Here is the Perceptron home page with all the models:
github.com/adrirubio/Perceptron
• Here is the newest model (the OCR model):
github.com/adrirubio/Perceptron/blob/main/optical_character_recognition.py
• For more information you can check out the readme:
github.com/adrirubio/Perceptron
I will link all of the scraps for this model!!!
I had a very annoying error but just today fixed it and right now the model is up and training!!!
I will use this OCR model to be able to "see" (recognize) the text in my screen joined with the object detection model that can recognize images!!!
So withought further a-do I will leave you with all of my scraps!!!
I hope you enjoy!!!
@PranavAggarwal0I have completed making a customisable chatbot backend project
In my project there is authentication for privacy of your data and chats
you can create you chatbots to chat with and also you can customise your chatbots by giving a custom prompt or some custom models or also you can train your chatbot on some custom data by providing that data (for now only in text) and get answers related to your data or prompt only from that particular customised chatbot
you can also write notes or ask your chatbot to make summary of your conversation and write it in notes and also it can give tags to a conversation fro better sorting
My Github repo for project :- github.com/Pranav-1100/chatbot
Screenshots for testing in postman :-
@elliott0Version two of my web app for keeping up with upcoming train times in Denmark. It now has way more of the promised features incorporated.
Check out the deployed site here or the Github repository here.
@MaciejHofman0github.com/DemonightPL/asassins-train/releases/tag/prelease
idk if this qualifies as bookmark because its really a skeleton of a game rather than something that can be played, but im going on holidays so i dont know if i will have time to finish it before september so im posting it now.
unity game where you play as asassin, all buttons are in the realease desc.
@elliott0I made a web app for easily checking and keeping up with upcoming train times in Denmark (it's locked to one specific route right now as it's an early demo)
Check out the deployed site here or the Github repository here.
@Michael-U0756DZHJ740Just updated my neural net pet sim game to support loading models - You can now train a model, save the model, and then load it back to watch it walk around and interact with the world! The rewards are not perfect yet so it will just max out its reward by drinking - That will be fixed in the next update!
github.com/Mikeymoo5/neuralnet-game
@pro-grammer0Here is the updated Perceptron model:
For those of you who don't know what I am creating it is basically a combination of many AI model and it is called Perceptron a model that can talk to you (the transfer learning model) only triggered by its name (Perceptron) and it also has manual resposes here are some examples: plays music, stops music, searches on google, searches on the wiki, gets the time, gets the weather and more...
Apart from the transfer learning model it also has an image recognition model that you can also train and when you say the word "image" when you talk it asks for the path and predicts what the image is!!!
It also has a sentiment analisis model that when you talk to Perceptron after it responds it (the sentiment analisis model) also tells you its prediction for how you are feeling example: happy, sad ...
The latest model (the one I have just created) is a object detection model that can find different objects in an image and show the original image but with the boxes for the different objects!!!
• Here is the Perceptron home page with all the models:
github.com/adrirubio/Perceptron
• Here is the newest model (the object detection model):
github.com/adrirubio/Perceptron/blob/main/object_detection.py
• Here is the updated Perceptron code:
github.com/adrirubio/Perceptron/blob/main/perceptron.py
Unfortunately the model still hasn't finished it training but it definetly trains and has pretty good results so far!!!
Next I hope on creating a text recognition model for an even greater finished project!!!
So, to not make you wait any longer here are the sessions!!!
ENJOY!!!
@JackWachter0Iteration8: One last version of my large collection of CTF and cyber security style challenges enabling students or hackclubs to train CTFs and cyber. This pool includes a variety of challenges like stego, programing, OSINT, forensics, crypto, reveng, and more! I highly recommend anyone interested in cyber security checks this out! There may still be more additions in the future.
github.com/JackIceHammer1/CTF-Pool
@JackWachter0Iteration7: This is the final version of my large collection of CTF and cyber security style challenges enabling students or hackclubs to train CTFs and cyber. This pool includes a variety of challenges like stego, programing, OSINT, forensics, crypto, reveng, and more! I highly recommend anyone interested in cyber security checks this out!
github.com/JackIceHammer1/CTF-Pool
@JackWachter0Iteration6: I am continuing to work on a large collection of CTF and cyber security style challenges enabling students or hackclubs to train CTFs and cyber. This pool includes a variety of challenges like stego, programing, OSINT, forensics, network analysis, crypto, reveng, and more! This is the completed sixth version.
github.com/JackIceHammer1/CTF-Pool
@DarrenSu0Went to Starterhacks! My teammates @EddieBian and @KahanShah and Richard (who isn't on slack) all contributed hugely to the project. Of course of two days, we build TensorBuild; an drag and drop no-code web application for building tensorflow nerual networks. Every "block" is a new layer, of which is function built with tensorflow in the flask backend. This goal of this project is to educate notice hackers about AI; some people might pick up the logic of neural networks and how a few layers work by watching youtube videos, but don't understand how to make a neural network with tensorflow (since the sytax is confusing). Therefore, Tensorbuild aims to bridge that gap, allowing it's user to drag layers to form a neural network and train it on the website. I worked on the backend, particularly the TensorFlow functions, as debugging on all fronts 😄
@JackWachter0Iteration5: I continuing to work on a large collection of CTF and cyber security style challenges enabling students or hackclubs to train CTFs and blue team cyber. This pool includes a variety of challenges like stego, programing, OSINT, forensics, network analysis, crypto, reveng, and more! This is the completed fifth version.
github.com/JackIceHammer1/CTF-Pool
@JackWachter0Iteration4: I am still working on a large collection of CTF cyber security challenges enabling students or hackclubs to train CTFs. This pool includes a variety of challenges including stego, programing, OSINT, forensics, network analysis, crypto, reveng, and more! This is the completed fourth version.
github.com/JackIceHammer1/CTF-Pool
@Alan0Day 1 of working on my Java DQN library:
Today I implemented DQN agents, along with some basic training which needs to be refined. I also did some work on environment handling so now the DQNs will be able to train on different environment types
GitHub
@JackWachter0Iteration3: I am still working on a large collection of CTF cyber security challenges enabling students or hackclubs to train CTFs. This pool includes a variety of challenges including stego, programing, OSINT, forensics, network analysis, crypto, and reveng. This is the completed third version.
github.com/JackIceHammer1/CTF-Pool
@MattiaB0#scrapbook
This package is a tool for predicting the outcome of League of Legends matches. It uses data from the Riot API to train a machine learning model that predicts the outcome of matches based on various factors such as player performance, team composition, and game statistics.
Repo link: github.com/Neetre/LoL.git
@JackWachter0Iteration2: I am continuing working on a large collection of CTF cyber security challenges enabling students or hackclubs to train CTFs. This pool includes a variety of challenges including stego, programing, OSINT, forensics, network analysis, crypto, and reveng. This is the completed second version.
github.com/JackIceHammer1/CTF-Pool
@ShiHaoNg0Writing this 20 minutes in: The previous bug can be seen below in the logs from Weights and Biases of the 2nd image. I'm using 4x Nvidia A100 to train my own custom GPT model, i.e. GPTesla. Previously managed to solve the issue of only 1 out of the 4 gpu running. Turns out i was using it entirely wrong, as in running the "Accelerate" framework completely wrong and messing upp the config files. Now I've also fixed an issue with only 1x of my AMD core being used, rather than all 96 cores being used. And it's working a lot faster now.
• now just trying to get it to train 50k steps.
github.com/Ice-Citron/GPTesla/commit/a105bbc2182d59f09b4bb8e3de6ab7682a2287c4huggingface.co/shng2025/gptesla-small/tree/robust-snowball-115 (115th run. Can be seen at Weights and Biases)
@Ultra0github.com/UltraArcher/password
Hopped on the train and made my own password generator using python. It uses the os.urandom function which I believe is "more random" than the random libraries, also it generates random numbers and then ASCIIifies them to get the characters, which I think I could possibly improve in the future.
@Bartosz0Finally finished my Sprig game! It's a RPG where you train your SpriMon. What's the best? It's Arcade event themed!
If people will want, I can make it even more advanced, add catching mechanics and more. I would love to make it a full game with much more details and a better, far more longer story in a Game Engine. It was a fun way to learn JS for the first time!
Here's repo: <https://github.com/BudzioT/SpriMons/tree/master|https://github.com/BudzioT/SpriMons >
Play it here: sprig.hackclub.com/share/4KvmUylH6Wtw3dCh9Er3
@Z0Here's a library I made that helps you use MTA data: github.com/ZarmDev/transitHelper
So far, you can get the coordinates of all the train stops, get the train line shapes (to show on the map) and get the arrivals at a specific stop.
@pro-grammer0Here is the finished version of the sentiment analisis model I have been working on!!!
• This is the actual code for the model:
github.com/adrirubio/Perceptron/blob/main/sentiment_analisis_model.py
If you train that model you get a trained and saved model ready for usage this model adds to the previously created transfer learning model for talking, image recognition and soon to be created image detection model!!!
• Here is the code for Perceptron with the models we have already discussed:
github.com/adrirubio/Perceptron/blob/main/perceptron.py
• And here is the home page for Perceptron:
github.com/adrirubio/Perceptron
For those of you who don't know what I am creating it is basically a combination of many AI model and it is called Perceptron a model that can talk to you (the transfer learning model) only triggered by its name (Perceptron) and it also has manual resposes here are some examples: plays music, stops music, searches on google, searches on the wiki, gets the time, gets the weather and more...
Apart from the transfer learning model it also has an image recognition model that you can also train and when you say the word "image" when you talk it asks for the path and predicts what the image is!!!
The latest model (the one I have just created) is a sentiment analisis model that when you talk to Perceptron after it responds it (the sentiment analisis model) also tells you its prediction for how you are feeling example : happy, sad ...
All of these models are really cool but believe it or not there are still more comming!!!
For more information on Perceptron read the readme at: github.com/adrirubio/Perceptron
I really enjoy this project and think it makes a good combination of several AI's two for talking (the transfer learning model and the sentiment analisis model) and two for image recognition (image recognition model and the yet to come image detection model)!!!
With that I leave you to enjoy the journey I had to create the sentiment analisis model (probably my hardest model yet!!!)
