A feature-rich command-line audio/video downloader

Robust Speech Recognition via Large-Scale Weak Supervision

Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and…

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

State-of-the-art 2D and 3D Face Analysis Project

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

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.

Freeze (package) Python programs into stand-alone executables

3D Reconstruction Software

Minimal and clean examples of machine learning algorithms implementations

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

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

Perform data science on data that remains in someone else's server

Implementation of Nougat Neural Optical Understanding for Academic Documents

An open Apple AirDrop implementation written in Python

Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!

Pytorch implementation of convolutional neural network visualization techniques

Minimal PyTorch implementation of YOLOv3

Audio fingerprinting and recognition in Python

Setup and customize deep learning environment in seconds.

A simple, fully convolutional model for real-time instance segmentation.

Most popular metrics used to evaluate object detection algorithms.

Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.

RepVGG: Making VGG-style ConvNets Great Again

Accelerated deep learning R&D

PyTorch extensions for high performance and large scale training.