Stars
Production First and Production Ready End-to-End Speech Recognition Toolkit
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
This is the code repository for the senior project of
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
Example deep learning projects that use wandb's features.
Add Christmas hat on one's head based on OpneCV and Dlib
AlexeyAB / darknet
Forked from pjreddie/darknetYOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang
Visualizer for neural network, deep learning and machine learning models
State-of-the-art 2D and 3D Face Analysis Project
A Tensorflow implementation of "Segmentation-Based Deep-Learning Approach for Surface-Defect Detection"
Flutter makes it easy and fast to build beautiful apps for mobile and beyond
An opinionated list of awesome Python frameworks, libraries, software and resources.
Codes for our paper "CenterNet: Keypoint Triplets for Object Detection" .
Codes for paper "Mask Scoring R-CNN".
Resource scheduling and cluster management for AI
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network (ECCV 2018)
OpenMMLab Detection Toolbox and Benchmark
A Keras implementation of YOLOv3 (Tensorflow backend)
[CVPR19/TPAMI23] SiamMask: A Framework for Fast Online Object Tracking and Segmentation
A Unix, Windows, Raspberry Pi Object Speed Camera using python3, opencv, video streaming, motion tracking. Includes a Standalone Web Server , Image Search using opencv template match and a whiptail…
Deep Learning Based Free Mobile Real-Time Face Landmark Detector. Contact:jack-yu-business@foxmail.com
A collection of pre-trained, state-of-the-art models in the ONNX format