Stars
The world's simplest facial recognition api for Python and the command line
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.
Keras implementation of RetinaNet object detection.
🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
pytorch tutorial for beginners
MOT using deepsort and yolov3 with pytorch
Implementation of Convolutional LSTM in PyTorch.
A mobilenet SSD based face detector, powered by tensorflow object detection api, trained by WIDERFACE dataset.
🚀 😏 Near Real Time CPU Face detection using deep learning
Easy Real time gender age prediction from webcam video with Keras
Lightweight CRNN for OCR (including handwritten text) with depthwise separable convolutions and spatial transformer module [keras+tf]
Gate-Shift Networks for Video Action Recognition - CVPR 2020
This repo contains code to convert Structured Documents to Graphs and implement a Graph Convolution Neural Network for node classification
Video Predicting using ConvLSTM and pytorch
My Docker scripts and Dockerfile for several frameworks.
Segmenting people on photos using IOS devices [Pytorch; Unet]
Code for VideoCapsuleNet: A Simplified Network for Action Detection
Face detection and recognition with tensorflow and FaceNet
Complexly represent contents, build recommender systems, evaluate them. All in one place!
Tf-Rec is a python💻 package for building⚒ Recommender Systems. It is built on top of Keras and Tensorflow 2 to utilize GPU Acceleration during training.
Notes, demos and materials for learning Machine Learning
ld-tools: toolkit for linkage disequilibrium calculation designed to work locally
Keras light-weight model for sketch images classification using Quick!Draw dataset