zuohaimin's Stars
torvalds/linux
Linux kernel source tree
grpc/grpc
The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)
ApolloAuto/apollo
An open autonomous driving platform
apache/brpc
brpc is an Industrial-grade RPC framework using C++ Language, which is often used in high performance system such as Search, Storage, Machine learning, Advertisement, Recommendation etc. "brpc" means "better RPC".
HumanAIGC/AnimateAnyone
Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation
HugoBlox/hugo-blox-builder
🚨 GROW YOUR AUDIENCE WITH HUGOBLOX! 🚀 HugoBlox is an easy, fast no-code website builder for researchers, entrepreneurs, data scientists, and developers. Build stunning sites in minutes. 适合研究人员、企业家、数据科学家和开发者的简单快速无代码网站构建器。用拖放功能、可定制模板和内置SEO工具快速创建精美网站！
cjlin1/libsvm
LIBSVM -- A Library for Support Vector Machines
skydevil88/XboxDownload
Xbox下载助手，支持Xbox、微软商店、PS、NS、EA app & Origin、战网、Epic、育碧、Riot Games下载加速，修复Steam商店社区、GitHub访问。
D-X-Y/Awesome-AutoDL
Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)
lesliefish/Qt
Qt开发知识、经验总结。包括Qss,数据库,Excel,Model/View等。
cpp-redis/cpp_redis
C++11 Lightweight Redis client: async, thread-safe, no dependency, pipelining, multi-platform
aapatel09/handson-unsupervised-learning
Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)
shamangary/SSR-Net
[IJCAI18] SSR-Net: A Compact Soft Stagewise Regression Network for Age Estimation
mattnedrich/GradientDescentExample
Example demonstrating how gradient descent may be used to solve a linear regression problem
tmadl/semisup-learn
Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data
Jeff-sjtu/res-loglikelihood-regression
Code for "Human Pose Regression with Residual Log-likelihood Estimation", ICCV 2021 Oral
xjtushujun/meta-weight-net
NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).
YGZWQZD/LAMDA-SSL
30 Semi-Supervised Learning Algorithms
hmi88/what
Pytorch implementation of "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?"
yaringal/HeteroscedasticDropoutUncertainty
Demos demonstrating the difference between homoscedastic and heteroscedastic regression with dropout uncertainty.
LiJunnan1992/MLNT
Meta-Learning based Noise-Tolerant Training
microsoft/UST
Uncertainty-aware Self-training
chengtan9907/Co-learning
The official implementation of the ACM MM'21 paper Co-learning: Learning from noisy labels with self-supervision.
awerries/online-svr
Implementation of Accurate Online Support Vector Regression in Python.
ShiYunyi/Meta-Weight-Net_Code-Optimization
A new code framework that uses pytorch to implement meta-learning, and takes Meta-Weight-Net as an example.
LARS-research/S2E
Q. Yao, H. Yang, B. Han, G. Niu, J. Kwok. Searching to Exploit Memorization Effect in Learning from Noisy Labels. ICML 2020
kezewang/ASPL
Active Self-Paced Learning for Cost-Effective and Progressive Face Identification
edche/star_svm
Semi-Supervised SVM via Self-Training with Adaptive Regularization (STAR-SVM)
NekoYIQI/QNS3VM
A python 3 version of qns3vm
zuohaimin/BSRU-Algorithm
Semi-Supervised regression algorithm