24 Lessons, 12 Weeks, Get Started as a Web Developer

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A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …

A hyperparameter optimization framework

坚持分享 GitHub 上高质量、有趣实用的开源技术教程、开发者工具、编程网站、技术资讯。A list cool, interesting projects of GitHub.

📗🌐 🚢 Comprehensive and exhaustive JavaScript & Node.js testing best practices (July 2023)

This repository started out as a learning in public project for myself and has now become a structured learning map for many in the community. We have 3 years under our belt covering all things Dev…

程序员在家做饭方法指南。Programmer's guide about how to cook at home (Simplified Chinese only).

Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle over 90% of deep learning projects in PyTorch.

Best Practices on Recommendation Systems

Master programming by recreating your favorite technologies from scratch.

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial…

📚 一个程序员的书架

PyTorch reimplementation of minimal-hand (CVPR2020)

Predict sales prices and practice feature engineering, RFs, and gradient boosting

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Using AWS Comprehend NLP Service, Python boto3, json toolkits

基于torch进行验证码识别,识别率达94%

基于OpenCV4.0 C++/Python SDK的案例代码演示程序与效果图像

pytorch learning tutorials

Building a Bayesian deep learning classifier

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more