Python Implementation of Reinforcement Learning: An Introduction

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

A 120-day CUDA learning plan covering daily concepts, exercises, pitfalls, and references (including “Programming Massively Parallel Processors”). Features six capstone projects to solidify GPU par…

A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.

Simple PyTorch Tutorials Zero to ALL!

Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more.

Detailed notes and code to learn the basics of machine learning with scikit-learn.

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

Code Repository for the Paper "Neural Codebook Design for MIMO Network Beam Management"

This is the code of my Bachelor Thesis in UESTC

STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)

Complete Machine Learning and Data Science: Zero to Mastery

The MATLAB code for implementing the paper "Low-Complexity Beam Training for Tracking Spatially Consistent Millimeter Wave Channels"

6G in-factory subnetwork scenario for protocol learning

Communication environments between 1 BS and several gym entities

📚 Freely available programming books

Master programming by recreating your favorite technologies from scratch.

A Collection of application ideas which can be used to improve your coding skills.

Curated list of project-based tutorials

A complete computer science study plan to become a software engineer.

An opinionated list of awesome Python frameworks, libraries, software and resources.

Code Repository for Machine Learning with PyTorch and Scikit-Learn

Python code for "Probabilistic Machine learning" book by Kevin Murphy

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

PyTorch tutorials and best practices.

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

Repo designed to help learn the Hugging Face ecosystem (transformers, datasets, accelerate + more).

Learn OpenCV : C++ and Python Examples