Stars
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
Meta Lingua: a lean, efficient, and easy-to-hack codebase to research LLMs.
Schedule-Free Optimization in PyTorch
This is our submission to the Event-based eye Tracking challenge part of the CVPR 2024 Workshop AI for Streaming.
SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
Optax is a gradient processing and optimization library for JAX.
Implementation of the experiments in the paper Sleep Deprivation in the Forward-Forward algorithm.
StableLM: Stability AI Language Models
An interpreter for RASP as described in the ICML 2021 paper "Thinking Like Transformers"
antimatter15 / alpaca.cpp
Forked from ggml-org/llama.cppLocally run an Instruction-Tuned Chat-Style LLM
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
An implementation of Deep Q-Learning playing Connect Four.
Precision agriculture image processing suite for UAS-acquired multipsectral imagery on GCP
Training neural models with structured signals.
An introduction to ARM64 assembly on Apple Silicon Macs
Reproducing CIFAR10 experiment results from the original ResNet paper using Pytorch in IPython notebook.
PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series
A comprehensive list of awesome contrastive self-supervised learning papers.
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Python Implementation of Reinforcement Learning: An Introduction
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API