Stars
The simplest, fastest repository for training/finetuning medium-sized GPTs.
A playbook for systematically maximizing the performance of deep learning models.
Development repository for the Triton language and compiler
A curated list of awesome Taichi applications, courses, demos and features.
A python package of Zeroth-Order Optimization (ZOOpt)
A python package of Zeroth-Order Optimization (ZOOpt)
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
Generates a visualization of binary classifier performance as a grid of diagonstic plots with just one function call
A Python toolbox for performing gradient-free optimization
The release codes of LA-MCTS with its application to Neural Architecture Search.
A library for distributed ML training with PyTorch
RLMeta is a light-weight flexible framework for Distributed Reinforcement Learning Research.
A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.
A PyTorch library and evaluation platform for end-to-end compression research
GPU implementation of a fast generalized ANS (asymmetric numeral system) entropy encoder and decoder, with extensions for lossless compression of numerical and other data types in HPC/ML applications.
Official electron build of draw.io
Productive, portable, and performant GPU programming in Python.
"Deep Generative Modeling": Introductory Examples
"Probabilistic Machine Learning" - a book series by Kevin Murphy
Simple MPL-2.0-licensed C++ geometry processing library.
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
A fast Python implementation of locality sensitive hashing.
Instant neural graphics primitives: lightning fast NeRF and more