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MATLAB自编程实现BP神经网络手写数字识别。
Anomaly detection related books, papers, videos, and toolboxes
A curated list of action recognition and related area resources
A curated list of neural architecture search (NAS) resources.
Papers for Video Anomaly Detection, released codes collection, Performance Comparision.
C++ Implementation of two correlation filter based visual trackers
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++
Differentiable architecture search for convolutional and recurrent networks
A toolkit for making real world machine learning and data analysis applications in C++
fire-smoke-detection-dataset and fire-detection-yolov4-5 (with xml annotations),火灾检测,烟雾检测
Simple baselines and RNNs for predicting human motion in tensorflow. Presented at CVPR 17.
A PyTorch implementation of Inception-v4 and Inception-ResNet-v2.
Python/Bash scripts for creating custom Neural Net Training Data -- this repo is for the MNIST format
This repository is an official PyTorch implementation of the paper "Learnable Triangulation of Human Pose" (ICCV 2019, oral). Proposed method archives state-of-the-art results in multi-view 3D human pose estimation!
code for learning trajectory dependencies for human motion prediction
Operationalize a video anomaly detection model with Azure ML
An official implementation of "Learning Memory-guided Normality for Anomaly Detection" (CVPR 2020) in PyTorch.
pytorch implementation of MobileNetV3
Models and examples built with TensorFlow
Implementation of "Encoraging LSTMs to Anticipate Actions Very Early", ICCV 2017
Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet
Real-time C++ ECO tracker etc. speed-up by SSE/NEON, support Linux, Mac, Jetson TX1/2, raspberry pi
Partial Order Pruning: for Best Speed/Accuracy Trade-off in Neural Architecture Search
Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/
TensorFlow implementation of "Image-to-Image Translation Using Conditional Adversarial Networks".
A full-featured and easy-to-use web framework with the Rust programming language.
Deep Learning (with PyTorch)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.