8bitmp3
google/flax/docs 🤖 jax-ml/jax/docs 🤖 google/gemma/docs 🤖 tensorflow/docs
tensorflow, jax, flax
8bitmp3's Stars
stanford-crfm/levanter
Legible, Scalable, Reproducible Foundation Models with Named Tensors and Jax
QuantEcon/lecture-jax.notebooks
Notebooks for the lecture-jax lecture series
enakai00/colab_jaxbook
Colab Notebooks for JAX/Flax/Optax ML Book
AI-Hypercomputer/maxtext
A simple, performant and scalable Jax LLM!
apple/axlearn
An Extensible Deep Learning Library
TheAlgorithms/Python
All Algorithms implemented in Python
keras-team/keras-core
A multi-backend implementation of the Keras API, with support for TensorFlow, JAX, and PyTorch.
SkalskiP/awesome-chatgpt-code-interpreter-experiments
Awesome things you can do with ChatGPT + Code Interpreter combo 🔥
google/generative-ai-docs
Documentation for Google's Gen AI site - including the Gemini API and Gemma
sanchit-gandhi/whisper-jax
JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.
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.
Vision-CAIR/MiniGPT-4
Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)
openai/evals
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
zjunlp/Prompt4ReasoningPapers
[ACL 2023] Reasoning with Language Model Prompting: A Survey
nomic-ai/gpt4all
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
NVIDIA/JAX-Toolbox
JAX-Toolbox
rasbt/faster-pytorch-blog
Outlining techniques for improving the training performance of your PyTorch model without compromising its accuracy
dair-ai/Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
google/triage-party
🎉 Triage Party: massively multi-player GitHub triage 🎉
levskaya/adhd
attention models for those without it
google/grain
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
aesara-devs/aesara
Aesara is a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays.
8bitmp3/NumPy-org-Tutorial-Policy-Gradients-Deep-RL-with-Pong-from-Scratch
For NumPy.org: How to implement a policy gradients deep reinforcement learning agent from scratch and train it to play Pong using screen pixels. Without an autodiff library.
QData/TextAttack
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
arpastrana/jax_fdm
Auto-differentiable and hardware-accelerated force density method
karpathy/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
nicknochnack/DoomReinforcementLearning
Farama-Foundation/Procgen-Staging
Procgen2: A community maintained fork of procgen
Farama-Foundation/MicroRTS-Py
A simple and highly efficient RTS-game-inspired environment for reinforcement learning (formerly Gym-MicroRTS)