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Dr. Nicefellow's Projects

alpha-zero-general icon alpha-zero-general

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

annotated_deep_learning_paper_implementations icon annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

cockpit icon cockpit

Code for the anonymous submission "Cockpit: A Practical Debugging Tool for Training Deep Neural Networks"

code-act icon code-act

Official Repo for paper "Executable Code Actions Elicit Better LLM Agents" by Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji.

compromptmized icon compromptmized

ComPromptMized: Unleashing Zero-click Worms that Target GenAI-Powered Applications

cpg icon cpg

A library to extract Code Property Graphs from C/C++ and Java

disco_diffusion_local icon disco_diffusion_local

Getting the latest versions of Disco Diffusion to work locally, instead of colab. Including how I run this on Windows, despite some Linux only dependencies ;)

dotsound icon dotsound

Simple flask music application that serves as online music player

flask-socketio-chat icon flask-socketio-chat

A simple chat application that demonstrates how to structure a Flask-SocketIO application.

generative-agents icon generative-agents

An attempt to build a working, locally-running cheap version of Generative Agents: Interactive Simulacra of Human Behavior

hotshot-xl icon hotshot-xl

✨ Hotshot-XL: State-of-the-art AI text-to-GIF model trained to work alongside Stable Diffusion XL

labml icon labml

🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

llama-cpp-agent icon llama-cpp-agent

The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models (LLMs). It provides a simple yet robust interface using llama-cpp-python, allowing users to chat with LLM models, execute structured function calls and get structured output.

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