Open Content for self-directed learning in data science
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Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
- machine-learning
- awesome-list
- neurips
- neurips-2020
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
- deep-learning
- machine-learning
- machine-learning-algorithms
- artificial-intelligence
Introduction to Deep Neural Networks with Keras and Tensorflow
- tensorflow
- python
- tutorial
- deep-learning
Next.js recently became the official React framework as outlined in React docs. In this course, you'll learn the most important Next.js concepts and how they fit into the React ecosystem. Finally, you'll put your skills to the test by building a modern full-stack Next 14 application.
- nextjs
- next14
- nextjs14
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
Go 学习之路：Go 开发者博客、Go 微信公众号、Go 学习资料（文档、书籍、视频）
- golang
- go
- cn
The repository host gives no description.
SpringMVC 和 MyBatis 学习笔记，搭配示例，主要讲解一些基础的概念、用法和配置
- springmvc
- mybatis
System design patterns for machine learning
Useful Vue patterns, techniques, tips and tricks and helpful curated links.
:egg: Netty实践学习案例，见微知著！带着你的心，跟着教程。我相信你行欧。
TranslatedCovers pre-training data, Tokenizer, Transformer, MoE,distributed training, Scaling Laws, inference & alignment .6 progressive code assignments for full-stack LLM learning
Udacity Self-Driving Car Engineer Nanodegree projects.
- self-driving-car
- udacity-self-driving-car
- deep-learning
- deep-neural-networks
A curated list of resources for Image and Video Deblurring
- image-deblurring
- video-deblurring
- image-deconvolution
- stereo-deblurring
A curated list of awesome anomaly detection resources
- awesome-anomaly-detection
- awesome
- anomaly-detection
- anomalydetection
Learn how to get started using the GitHub Copilot CLI!
- ai-ready
Learn step-by-step how to scrape Google Trends data and make a result comparison using Python and Oxylabs SERP API. Extract keywords, their popularity, breakdown by region, related queries, and more.
- google-trend
- google-trend-api
- google-trend-strategy
Implementation of papers in 100 lines of code.
📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
Learn JavaScript by adventuring around in the terminal.
A Paper List for Humanoid Robot Learning.
Starter files for learning React.js with React for Beginners
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems