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Name: li
Type: User
Name: li
Type: User
matplotlib: plotting with Python
3D visualization of scientific data in Python
Learning Multi-Domain Convolutional Neural Networks for Visual Tracking
PyTorch implementation for Meta Learning algorithms :Model Agnostic Meta Learning(MAML) and Reptile for Part of Speech Tagging to evaluate few short learning
A list of recent papers about Meta / few-shot learning methods applied in NLP areas.
Reproduction of paper: Learning Discriminative Features with Multiple Granularities for Person Re-Identification
Code for Multiple Instance Active Learning for Object Detection, CVPR 2021
A multiple interface (intel 8080, 3-wire SPI, DPI RGB ) 5 inch TFT LCD capacitive touch screen which is compatible with teraisc DE-series boards
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
Computer vision approach for traffic localization and classification.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
机器学习算法 基于西瓜书以及《统计学习方法》,当然包括DL。
Coding the Machine Learning Tutorial for Learning to Learn
PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.
机器学习算法的公式推导以及numpy实现
Lane Detection with Deep Learning - My Capstone project for Udacity's ML Nanodegree
OpenMMLab Computer Vision Foundation
mmdetection源码注释
mmdetection最小学习版
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
Machine learning for MNIST
Pytorch、Scikit-learn实现多种分类方法,包括逻辑回归(Logistic Regression)、多层感知机(MLP)、支持向量机(SVM)、K近邻(KNN)、CNN、RNN,极简代码适合新手小白入门,附英文实验报告(ACM模板)
Using CNN, SVM, Naive Bayes,KNN, AdaBoost, XGBoost, decision tree,GBDT to do the classification task on MNIST.
线性/卷积模型
MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
mobilev2-yolov5s剪枝、蒸馏,支持ncnn,tensorRT部署。ultra-light but better performence!
A caffe implementation of MobileNet-YOLO detection network
轻量化的实例分割模型
mobilenetv3 with pytorch,provide pre-train model
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.