ZZY18

ZeroTierOne

A Smart Ethernet Switch for Earth

SemiReward

[ICLR 2024] SemiReward: A General Reward Model for Semi-supervised Learning

nps

基于NPS 0.29.10 版本二开而来，NPS接力项目。公益云NPS：https://natnps.com

gpytorch

A highly efficient implementation of Gaussian Processes in PyTorch

LAMDA-SSL

30 Semi-Supervised Learning Algorithms

Best-README-Template

An awesome README template to jumpstart your projects!

my-tv

我的电视 电视直播软件，安装即可使用

MIGC

[CVPR 2024 Highlight] "MIGC: Multi-Instance Generation Controller for Text-to-Image Synthesis" (Official Implementation)

MinerU

A one-stop, open-source, high-quality data extraction tool, supports PDF/webpage/e-book extraction.一站式开源高质量数据提取工具，支持PDF/网页/多格式电子书提取。

imbalanced-regression

[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression

mermaid

Generation of diagrams like flowcharts or sequence diagrams from text in a similar manner as markdown

Awesome-Learning-with-Label-Noise

A curated list of resources for Learning with Noisy Labels

TorchSSL

A PyTorch-based library for semi-supervised learning (NeurIPS'21)

uncertainty-deep-learning

Bayesian-Neural-Networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

aeon

A toolkit for machine learning from time series

ModernTCN

This is an official implementation of "ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis" (ICLR 2024 Spotlight), https://openreview.net/forum?id=vpJMJerXHU

ssdkl

Code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance

pythonnet

Python for .NET is a package that gives Python programmers nearly seamless integration with the .NET Common Language Runtime (CLR) and provides a powerful application scripting tool for .NET developers.

rebiber

A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).

RNN-Time-series-Anomaly-Detection

RNN based Time-series Anomaly detector model implemented in Pytorch.

Deep-Learning-Based-Anomaly-Detection

Fluid-Catalytic-Cracking-Unit-Dataset-for-Process-Monitoring-Evaluation

Datasets from a fluid catalytic cracking unit to evaluate FDD techniques

RestSharp

Simple REST and HTTP API Client for .NET

pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

classifier-balancing

This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 2020

Time-Series-Library

A Library for Advanced Deep Time Series Models.

Soft_Sensor_Experiments

Variational-Autoencoders

Beta-VAE, Conditional-VAE, Total Correlation-VAE, FactorVAE, Relevance Factor-VAE, Multi-Level VAE, (Soft)-IntroVAE (Beta-Version), LVAE, VLAE, VaDE and MFCVAE implemented in Tensorflow 2

Time_Series_Classification