ejmejm's Stars
JoeyTeng/jaxrenderer
Differentiable Rasteriser implemented in JAX. Reference: https://github.com/erwincoumans/tinyrenderer, https://github.com/ssloy/tinyrenderer/wiki; PR: https://github.com/google/brax/pull/367
khurramjaved96/SwiftTD
A faster more robust algorithm for learning temporal predictions
muditbhargava66/PyxLSTM
Efficient Python library for Extended LSTM with exponential gating, memory mixing, and matrix memory for superior sequence modeling.
patrick-kidger/equinox
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
Bozar/GodotRoguelikeTutorial
A guide to build a simple Roguelike game with Godot engine.
lapisrocks/LanguageAgentTreeSearch
[ICML 2024] Official repository for "Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models"
RobertTLange/gymnax
RL Environments in JAX 🌍
Kautenja/gym-tetris
An OpenAI Gym interface to Tetris on the NES.
nvbn/thefuck
Magnificent app which corrects your previous console command.
ravenscroftj/turbopilot
Turbopilot is an open source large-language-model based code completion engine that runs locally on CPU
mzbac/wizardCoder-vsc
Visual Studio Code extension for WizardCoder
ddupont808/GPT-4V-Act
AI agent using GPT-4V(ision) capable of using a mouse/keyboard to interact with web UI
microsoft/PyCodeGPT
A pre-trained GPT model for Python code completion and generation
ephe-meral/cascor
:books: Notebooks on the Cascade-Correlation Learning Architecture
karpathy/arxiv-sanity-lite
arxiv-sanity lite: tag arxiv papers of interest get recommendations of similar papers in a nice UI using SVMs over tfidf feature vectors based on paper abstracts.
google-research/jaxpruner
astanic/crafter-ood
eugeneyan/open-llms
📋 A list of open LLMs available for commercial use.
NM512/dreamerv3-torch
Implementation of Dreamer v3 in pytorch.
google-deepmind/pg19
google-research/meliad
Significant-Gravitas/AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
zphang/minimal-llama
google-deepmind/dm-haiku
JAX-based neural network library
ContinualAI/avalanche-rl
Avalanche fork adding RL support
danijar/dreamerv3
Mastering Diverse Domains through World Models
DLR-RM/stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
nebuly-ai/optimate
A collection of libraries to optimise AI model performances
SUwonglab/CausalEGM
A General Causal Inference Framework by Encoding Generative Modeling
kach/gradient-descent-the-ultimate-optimizer
Code for our NeurIPS 2022 paper