Machine Learning · GitHub

A comprehensive list of Implicit Representations and NeRF papers relating to Robotics/RL domain, including papers, codes, and related websites

A complete daily plan for studying to become a machine learning engineer.

• "You can, but it is far more difficult than when I got into the field." Drac Smith
• "I'm hiring machine learning experts for my team and your MOOC will not get you the job (there is better news below). In fact, many people with a master's in machine learning will not get the job because they (and most who have taken MOOCs) do not have a deep understanding that will help me solve my problems." Ross C. Taylor

modular quant framework.

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

YoloV3 Implemented in Tensorflow 2.0

• yolov3 with pre-trained Weights
• yolov3-tiny with pre-trained Weights

This repository is no longer maintained.

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

• dynamic RNN(GRU, LSTM)
• Residual Network(Deep CNN)

A License Plate Image Reconstruction Project in Tensorflow2

A Data Engineering & Machine Learning Knowledge Hub

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.

Publication-ready NN-architecture schematics.

An easy-to-use federated learning platform

Android TensorFlow MachineLearning Example (Building TensorFlow for Android)

Job search guide for AI algorithm roles, with preparation tips, coding practice guides, referrals, lists of AI companies, and other resources.

A collection of CVPR 2026 papers and open-source projects

:book: [译] scikit-learn（sklearn） 中文文档

Machine Learning meets ketosis: how to effectively lose weight