Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Core deep-learning frameworks and libraries for pretraining and distributed training.
Signals: deep-learning, neural-network, pytorch, tensorflow, jax, distributed-training, training, deepspeed
2,694 results
Machine Learning University: Accelerated Tabular Data Class
Small scale machine learning projects to understand the core concepts . Give a Star 🌟If it helps you. BONUS: Interview Bank coming up..!
Brings SQL and AI together.
🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained
算法工程师-机器学习面试题总结
Machine Learning Yearning book by 🅰️𝓷𝓭𝓻𝓮𝔀 🆖
Minimal and clean examples of machine learning algorithms implementations
Image augmentation for machine learning experiments.
Practical Full-Stack Machine Learning
Machine Learning Q and AI book
周志华《机器学习》手推笔记
Python code for common Machine Learning Algorithms
VIP cheatsheets for Stanford's CS 229 Machine Learning
A complete daily plan for studying to become a machine learning engineer.
Machine learning resources
Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in anomaly detection, graph representation learning, and graph anomaly detection to join this project as contributors and boost further research in this area.
LSTM-MATLAB is Long Short-term Memory (LSTM) in MATLAB, which is meant to be succinct, illustrative and for research purpose only. It is accompanied with a paper for reference: Revisit Long Short-Term Memory: An Optimization Perspective, NIPS deep learning workshop, 2014.
This repository contains some python code of some traditional change detection methods or provides their original websites, such as SFA, MAD, and some deep learning-based change detection methods, such as SiamCRNN, DSFA, and some FCN-based methods.
These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.
An android library that uses technologies like artificial Intelligence, machine learning, and deep learning to make developers understand the content that they are displaying in their app.
Build your own X - Master machine learning by building everything from scratch. It aims to cover everything from linear regression to deep learning to large language models (LLMs).
Oryx is a library for probabilistic programming and deep learning built on top of Jax.
A slim tensorflow wrapper that provides syntactic sugar for tensor variables. This library will be helpful for practical deep learning researchers not beginners.
Deep learning framework realized by Numpy purely, supports for both Dynamic Graph and Static Graph with GPU acceleration
24,524 repositories in the index in total.
