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
2,663 results
数学建模和机器学习/深度学习/大模型的笔记和资料（持续更新中......）。
Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, Large Language Models (LLMs), and Training Models.
Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes
Image augmentation library in Python for machine learning.
Monthly Series - Machine Learning Top 10 Open Source Projects
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
:earth_americas: machine learning tutorials (mainly in Python3)
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.
Heterogeneous Run Time version of Caffe. Added heterogeneous capabilities to the Caffe, uses heterogeneous computing infrastructure framework to speed up Deep Learning on Arm-based heterogeneous embedded platform. It also retains all the features of the original Caffe architecture which users deploy their applications seamlessly.
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.
24,545 repositories in the index in total.
