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Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
Semi-supervised learning for object detection
Semi Supervised Learning for Text-Classification
SSN: Shape Signature Networks for Multi-class Object Detection from Point Clouds
A spatial-spectral prior deep network for hyperspectral image super-resolution (IEEE TCI)
(CVPR 2020) Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation (PyTorch)
Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch
[CVPR 2022] ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Code for Neural Arithmetic Units (ICLR) and Measuring Arithmetic Extrapolation Performance (SEDL|NeurIPS)
NER system based on stack LSTMs
Source Code and Data for Software Domain NER
VIP cheatsheets for Stanford's CS 221 Artificial Intelligence
VIP cheatsheets for Stanford's CS 229 Machine Learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
[Deprecated] This library has been renamed to "Stanza". Latest development at: https://github.com/stanfordnlp/stanza
Official Stanford NLP Python Library for Many Human Languages
[CVPR'16] Staple: Complementary Learners for Real-Time Tracking"
Reinforcement Learning and Transfer Learning based StarCraft Micromanagement
Official PyTorch Implementation of StarGAN - CVPR 2018
Simple Tensorflow implementation of StarGAN (CVPR 2018 Oral)
StarGAN v2 - Official PyTorch Implementation (CVPR 2020)
STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
《统计学习方法》笔记-基于Python算法实现
手写实现李航《统计学习方法》书中全部算法
Image segmentation
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.