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Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Rich is a Python library for rich text and beautiful formatting in the terminal.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Graph Neural Network Library for PyTorch
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Open source platform for the machine learning lifecycle
Statsmodels: statistical modeling and econometrics in Python
NumPy aware dynamic Python compiler using LLVM
Geometric Computer Vision Library for Spatial AI
A collaboration friendly studio for NeRFs
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
Hydra is a framework for elegantly configuring complex applications
Deep universal probabilistic programming with Python and PyTorch
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
The open-source tool for building high-quality datasets and computer vision models
A pure-python PDF library capable of splitting, merging, cropping, and transforming the pages of PDF files
A Python implementation of global optimization with gaussian processes.
Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
Flax is a neural network library for JAX that is designed for flexibility.