EMI-Group/evox
quality grade B, 70 out of 100Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
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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
2,686 results
Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Learn how to develop, deploy and iterate on production-grade ML applications.
推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction
Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros
Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.
Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning
🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
Deep Learning and deep reinforcement learning research papers and some codes
:satellite: Organized Resources for Deep Learning Researchers and Developers
Carefully curated resource links for data science in one place
Classic papers and resources on recommendation
This is Andrew NG Coursera Handwritten Notes.
A modern Anki custom scheduling based on Free Spaced Repetition Scheduler algorithm
ChatGPT资料汇总学习,持续更新......
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
[IEEE T-KDE 2026] Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
PyCIL: A Python Toolbox for Class-Incremental Learning
Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".
Unified Training of Universal Time Series Forecasting Transformers
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
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