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Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
The Web framework for perfectionists with deadlines.
Models and examples built with TensorFlow
TensorFlow code and pre-trained models for BERT
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
⚡ A Fast, Extensible Progress Bar for Python and CLI
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
Glances an Eye on your system. A top/htop alternative for GNU/Linux, BSD, Mac OS and Windows operating systems.
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
State-of-the-art 2D and 3D Face Analysis Project
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
Open source code for AlphaFold 2.
An open source implementation of CLIP.
🐍 Geometric Computer Vision Library for Spatial AI
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
Hydra is a framework for elegantly configuring complex applications
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch