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Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Models and examples built with TensorFlow
Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
PyTorch Tutorial for Deep Learning Researchers
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Python Backtesting library for trading strategies
Stable Diffusion with Core ML on Apple Silicon
End-to-End Object Detection with Transformers
Image augmentation for machine learning experiments.
An open source implementation of CLIP.
A paper list of object detection using deep learning.
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.
A PyTorch implementation of EfficientNet
Real-Time High-Resolution Background Matting
Largest list of models for Core ML (for iOS 11+)
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, …
The official PyTorch implementation of Google's Gemma models
Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.
A data augmentations library for audio, image, text, and video.
PyTorch ,ONNX and TensorRT implementation of YOLOv4
On-device AI across mobile, embedded and edge for PyTorch
Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.