Models and examples built with TensorFlow

Deepfakes Software For All

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

PyTorch Tutorial for Deep Learning Researchers

OpenMMLab Detection Toolbox and Benchmark

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

Magenta: Music and Art Generation with Machine Intelligence

PyTorch implementations of Generative Adversarial Networks.

Style transfer, deep learning, feature transform

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

A faster pytorch implementation of faster r-cnn

Minimal PyTorch implementation of YOLOv3

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

Gluon CV Toolkit

[Open Source]. The improved version of AnimeGAN. Landscape photos/videos to anime

An easy to use PyTorch to TensorRT converter

OpenMMLab Text Detection, Recognition and Understanding Toolbox

Simple, online, and realtime tracking of multiple objects in a video sequence.

Minimal and Clean Reinforcement Learning Examples

A deep learning library for video understanding research.

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

Deep neural network to extract intelligent information from invoice documents.

Convolutional recurrent network in pytorch

YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite

PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking (https://arxiv.org/abs/1712.07629)

You Only Look Once for Panopitic Driving Perception.（MIR2022）