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asms

Scale adaptive mean-shift tracker

awesome-face-detection

Compare with various detectors - dlib, ocv, ocv-dnn, mtcnn-pytorch, face_recognition

caffe

Caffe: a fast open framework for deep learning.

centernet

Object detection, 3D detection, and pose estimation using center point detection:

correlation-filter-tracking

使用Correlation Filter的目标跟踪

cxxopts

Lightweight C++ command line option parser

dali

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

dcnv2

Deformable Convolutional Networks v2 with Pytorch

deeplearning.ai

deeplearning.ai , By Andrew Ng, All slide and notebook + code and some material.

deeplearning.ai-summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

deeplearning.ai_jupyternotebooks

DeepLearning.ai课程学习Jupyter Notebook作业

deepnet

Implementations of CNNs, RNNs and cool new techniques in deep learning from scratch

machinelearning

Machine Learning in Action（机器学习实战）

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

metapruning

mmcv

Open MMLab Computer Vision Foundation

mmdetection

Open MMLab Detection Toolbox and Benchmark

mnn

MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

mosse_object_tracking

This is the implementation of MOSSE tracking algorithm (correlation filter based).

oidv4_toolkit

Download and visualize single or multiple classes from the huge Open Images v4 dataset

port-forward

Forward a number of socket servers

pyfunt

Pythonic Deep Learning Framework Inspired by Torch's Neural Network package

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

randwirenn

Pytorch Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"

slimmable_networks

Slimmable Networks, ICLR 2019, and ICCV 2019

tinyekf

Lightweight C/C++ Extended Kalman Filter with Python for prototyping

tnn

TNN: developed by Tencent Youtu Lab and Guangying Lab, a lightweight and high-performance deep learning framework for mobile inference. 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 performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework. TNN：由腾讯优图实验室和光影实验室协同打造，移动端高性能、轻量级推理框架，同时拥有跨平台、高性能、模型压缩、代码裁剪等众多突出优势。TNN框架在原有Rapidnet、ncnn框架的基础上进一步加强了移动端设备的支持以及性能优化，同时也借鉴了业界主流开源框架高性能和良好拓展性的优点。目前TNN已经在手Q、微视、P图等应用中落地，欢迎大家参与协同共建，促进TNN推理框架进一步完善。

v2ray-agent

（VLESS+TCP+TLS/VLESS+TCP+XTLS/VLESS+WS+TLS/VMess+TCP+TLS/VMess+WS+TLS/Trojan/Trojan-Go WS）+伪装站点、七合一共存脚本，支持多内核安装

visual_tracking_api

A simple visual tracking interface using Python

vocabulary

IELTS vocabulary