Tensors and Dynamic neural networks in Python with strong GPU acceleration
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
SNIPER / AutoFocus is an efficient multi-scale object detection training / inference algorithm
FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)
6. Person reid baseline pytorch
Pytorch ReID: A tiny, friendly, strong pytorch implement of object re-identification baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
Tengine is a lite, high performance, modular inference engine for embedded device
TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and …
10. Chinese Ocr
A PyTorch Library for Accelerating 3D Deep Learning Research
14. Chinese ocr
CTPN + DenseNet + CTC based end-to-end Chinese OCR implemented using tensorflow and keras
OneFlow is a performance-centered and open-source deep learning framework.
OpenMMLab Computer Vision Foundation
Fast Python Collaborative Filtering for Implicit Feedback Datasets
18. Flownet2 Pytorch
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
19. Human Pose Estimation.pytorch
The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"
A library for efficient similarity search and clustering of dense vectors.
🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
a distributed deep learning platform
A OpenMMLAB toolbox for human pose estimation, skeleton-based action recognition, and action synthesis.
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
TorchCV: A PyTorch-Based Framework for Deep Learning in Computer Vision
cuML - RAPIDS Machine Learning Library
A game theoretic approach to explain the output of any machine learning model.
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learni…
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
SRU is a recurrent unit that can run over 10 times faster than cuDNN LSTM, without loss of accuracy tested on many tasks.
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
41. Hrnet Semantic Segmentation
The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
44. Megatron Lm
Ongoing research training transformer language models at scale, including: BERT & GPT-2
Implementation of popular deep learning networks with TensorRT network definition API
Dual Attention Network for Scene Segmentation (CVPR2019)
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.