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100 Days of ML Coding
A curated list of resources for Learning with Noisy Labels
A list of links to various Berkeley CS courses and their resources.
OS-agnostic, system-level binary package manager and ecosystem
一份硬核(hardcore)计算机科学CS自学计划,偏向软件工程和系统架构方向
该仓库用于记录和定期提供各大数据科学竞赛的赛事消息和原创baseline,思路分享以及博主的一些竞赛心得和学习资料等. 主要涵盖:kaggle, 阿里天池,华为云大赛校园赛,百度aistudio,和鲸社区,datafountain等
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
This repo consists of collection of papers and repos on the topic of deep learning by noisy labels / label noise.
A collection of various deep learning architectures, models, and tips
A new test set for ImageNet
Caltech Machine Learning course notes and homework
记录Learning from data一书中的习题解答
Official Implementation of Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction (2020)
Code for the CVPR15 paper "Learning from Massive Noisy Labeled Data for Image Classification"
**大学李宏毅老师机器学习
NTU ML2017 Spring and Fall Homework Hung-yi_Li 李宏毅老师 机器学习课程作业
深度学习论文阅读、数据仓库实践体验。比做算法的懂工程落地,比做工程的懂算法模型。
深度学习经典、新论文逐段精读
PRML algorithms implemented in Python
Tensors and Dynamic neural networks in Python with strong GPU acceleration
文本分类资源汇总,包括深度学习文本分类模型,如SpanBERT、ALBERT、RoBerta、Xlnet、MT-DNN、BERT、TextGCN、MGAN、TextCapsule、SGNN、SGM、LEAM、ULMFiT、DGCNN、ELMo、RAM、DeepMoji、IAN、DPCNN、TopicRNN、LSTMN 、Multi-Task、HAN、CharCNN、Tree-LSTM、DAN、TextRCNN、Paragraph-Vec、TextCNN、DCNN、RNTN、MV-RNN、RAE等,浅层学习模型,如LightGBM 、SVM、XGboost、Random Forest、C4.5、CART、KNN、NB、HMM等。介绍文本分类数据集,如MR、SST、MPQA、IMDB、Yelp、20NG、AG、R8、DBpedia、Ohsumed、SQuAD、SNLI、MNLI、MSRP、MRDA、RCV1、AAPD,评价指标,如accuracy、Precision、Recall、F1、EM、MRR、HL、Micro-F1、Macro-F1、P@K,和技术挑战,包括多标签文本分类。
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in 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.