rikazry's Stars
jacobhilton/deep_learning_curriculum
Language model alignment-focused deep learning curriculum
stas00/ml-engineering
Machine Learning Engineering Open Book
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
DataTalksClub/machine-learning-zoomcamp
Learn ML engineering for free in 4 months!
DataTalksClub/data-engineering-zoomcamp
Free Data Engineering course!
dair-ai/ML-Papers-Explained
Explanation to key concepts in ML
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
zhanymkanov/fastapi-best-practices
FastAPI Best Practices and Conventions we used at our startup
EthicalML/awesome-annual-reviews-and-trends
A curated list of awesome year-in-review and annual trends / predictions for 2022, 2023 and beyond 🚀
OpenSourceAP/CrossSection
Code to accompany our paper Chen and Zimmermann (2020), "Open source cross-sectional asset pricing"
chiphuyen/ml-interviews-book
https://huyenchip.com/ml-interviews-book/
alexeygrigorev/data-science-interviews
Data science interview questions and answers
wangyuGithub01/Machine_Learning_Resources
:fish::fish::fish: 机器学习面试复习资源
EthicalML/awesome-artificial-intelligence-guidelines
This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
fxsjy/jieba
结巴中文分词
ourownstory/neural_prophet
NeuralProphet: A simple forecasting package
HarisIqbal88/PlotNeuralNet
Latex code for making neural networks diagrams
werner-duvaud/muzero-general
MuZero
xiaoqian19940510/text-classification-surveys
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。
Separius/awesome-fast-attention
list of efficient attention modules
microsoft/qlib
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
google/styleguide
Style guides for Google-originated open-source projects
Yorko/mlcourse.ai
Open Machine Learning Course
project-deepform/deepform
Experimental form data extraction for journalism
shijie-wu/crosslingual-nlp
This repo supports various cross-lingual transfer learning & multilingual NLP models.
bplank/awesome-neural-adaptation-in-NLP
Awesome Neural Adaptation in Natural Language Processing. A curated list. https://arxiv.org/abs/2006.00632
crownpku/Awesome-Chinese-NLP
A curated list of resources for Chinese NLP 中文自然语言处理相关资料
CLUEbenchmark/CLUEDatasetSearch
搜索所有中文NLP数据集,附常用英文NLP数据集
khanhnamle1994/cracking-the-data-science-interview
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep