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Markdown source for Michael Abrash's Graphics Programming Black Book
AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN),图神经网络(GNN),NLP,大数据相关的发展路书(roadmap), 并附海量源码(python,pytorch)带大家消化基本知识点,突破面试,完成从新手到合格工程师的跨越,其中深度学习相关论文附有tensorflow caffe官方源码,应用部分含推荐算法和知识图谱
Adversarial Sparse Transformer for Time Series Forecasting
Automatically build ARIMA, SARIMAX, VAR, FB Prophet and ML Models on Time Series data sets with a Single Line of Code
Must-read papers on recommendation systems (RecSys)
🏆 A ranked list of awesome machine learning python libraries. Updated weekly.
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
A collection of resources for Recommender Systems (RecSys)
Production grade, end-to-end vision AI platform with fully integrated modules for model building, automated labeling, data processing, model training and hyperparameter tuning.
:bar_chart: Path to a free self-taught education in Data Science!
Collection of useful data science topics along with code and articles
A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.
Toturial coming with "data science roadmap" graphe.
Machine learning datasets used in tutorials on MachineLearningMastery.com
🤗 The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools
DDSP: Differentiable Digital Signal Processing
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Going beyond BEDMAP2 using a super resolution deep neural network. Also a convenient flat file data repository for high resolution bed elevation datasets around Antarctica.
A mindmap summarising Deep Learning concepts.
These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
DenseASPP for Semantic Segmentation in Street Scenes
Roadmap to becoming a web developer in 2021
DevOps methodology & roadmap for a devops developer in 2019. Interesting books to learn new technologies.
🔱 Collection and Roadmap for everyone who wants DevSecOps.
Open source text annotation tool for machine learning practitioner.
Guide on Domain-Driven Design, Hexagonal architecture, best practices etc.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
A very simple framework for state-of-the-art Natural Language Processing (NLP)
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.