Stars
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
The most cited deep learning papers
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models l…
Convert Machine Learning Code Between Frameworks
All notes and materials for the CS229: Machine Learning course by Stanford University
All notes and materials for the CS229: Machine Learning course by Stanford University
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
📡 All You Need to Know About Deep Learning - A kick-starter
A script to run on the command line of Google Colab to render Blender files using GPU
Pytorch implementation of convolutional neural network visualization techniques
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Notes and code on computer vision course ,PyImageSearch Gurus.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
Practice your pandas skills!
Notebooks for the "A walk with fastai2" Study Group and Lecture Series
A list of papers on Generative Adversarial (Neural) Networks
Awesome paper list with code about generative adversarial nets
A timeline showing the development of Generative Adversarial Networks (GAN).
Lip and hair color editor using face parsing maps.
Image Augmentation technique using OpenCV and Python
A pentesting tool inspired by mr robot and derived by zphisher
MIT CS 6.042 opencourseware Fall 2010 problems + solutions
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.