awentzonline

awentzonline's Stars

• ray-project/ray

  Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

  Language:Python34.6k48019.1k5.9k

• google-research/google-research

  Google Research

  Language:Jupyter Notebook34.6k7571.3k8k

• openai/CLIP

  CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

  Language:Jupyter Notebook26.7k3254053.4k

• bulletphysics/bullet3

  Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

  Language:C++12.8k4092k2.9k

• modin-project/modin

  Modin: Scale your Pandas workflows by changing a single line of code

  Language:Python10k1174.2k655

• DLR-RM/stable-baselines3

  PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

  Language:Python9.4k671.5k1.7k

• facebookresearch/hydra

  Hydra is a framework for elegantly configuring complex applications

  Language:Python8.9k1301.4k644

• arogozhnikov/einops

  Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

  Language:Python8.6k69185355

• huggingface/accelerate

  🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support

  Language:Python8.1k981.7k998

• kingoflolz/mesh-transformer-jax

  Model parallel transformers in JAX and Haiku

  Language:Python6.3k112206894

• lucidrains/stylegan2-pytorch

  Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

  Language:Python3.7k69263591

• google/neural-tangents

  Fast and Easy Infinite Neural Networks in Python

  Language:Jupyter Notebook2.3k62156227

• patrick-kidger/equinox

  Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/

  Language:Python2.2k25475146

• adobe/antialiased-cnns

  pip install antialiased-cnns to improve stability and accuracy

  Language:Python1.7k3848202

• microsoft/mup

  maximal update parametrization (µP)

  Language:Jupyter Notebook1.4k296294

• Uniswap/v2-periphery

  🎚 Peripheral smart contracts for interacting with Uniswap V2

  Language:Solidity1.1k53851.7k

• polygon-io/client-python

  The official Python client library for the Polygon REST and WebSocket API.

  Language:Python86429277229

• google/evojax

  Language:Jupyter Notebook857233191

• google-research/long-range-arena

  Long Range Arena for Benchmarking Efficient Transformers

  Language:Python737245481

• kubeflow-kale/kale

  Kubeflow’s superfood for Data Scientists

  Language:Python63219166126

• facebookresearch/vicreg

  VICReg official code base

  Language:Python52882390

• poets-ai/elegy

  A High Level API for Deep Learning in JAX

  Language:Python4711610632

• vollib/py_vollib

  Language:Python314162671

• cgarciae/treex

  A Pytree Module system for Deep Learning in JAX

  Language:Python21483117

• IDSIA/modern-srwm

  Official repository for the paper "A Modern Self-Referential Weight Matrix That Learns to Modify Itself" (ICML 2022 & NeurIPS 2021 Deep RL Workshop) and "Accelerating Neural Self-Improvement via Bootstrapping" (ICLR 2023 Workshop)

  Language:Python1698217

• ml-jku/cloob

  Language:Python15581611

• microsoft/mutransformers

  some common Huggingface transformers in maximal update parametrization (µP)

  Language:Jupyter Notebook785411

• joshbuchea/yo-mama

  Yo Mama Jokes JSON

  606222

• phileaton/tradier-python

  Tradier API client implemented in python

  Language:Python154114

• flxai/soft-brownian-offset

  Soft Brownian Offset

  Language:Python9320