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
2,672 results
[ICLR 2024] Controlling Vision-Language Models for Universal Image Restoration. 5th place in the NTIRE 2024 Restore Any Image Model in the Wild Challenge.
Recipes are a standard, well supported set of blueprints for machine learning engineers to rapidly train models using the latest research techniques without significant engineering overhead.Specifically, recipes aims to provide- Consistent access to pre-trained SOTA models ready for production- Reference implementations for SOTA research reproducibility, and infrastructure to guarantee correctness, efficiency, and interoperability.
The collaborative real-time open-source machine learning devtool and training suite: Experiment execution, tracking, and debugging. With server and project management tools.
We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.
Framework for defining machine learning models, including feature generation and transformations, as directed acyclic graphs (DAGs).
Repository of code and resources related to different data science and machine learning topics. For learning, practice and teaching purposes.
Neo-AI-DLR is a common runtime for machine learning models compiled by AWS SageMaker Neo, TVM, or TreeLite.
A high-level, rapid development framework for machine learning projects
Ytk-learn is a distributed machine learning library which implements most of popular machine learning algorithms(GBDT, GBRT, Mixture Logistic Regression, Gradient Boosting Soft Tree, Factorization Machines, Field-aware Factorization Machines, Logistic Regression, Softmax).
Enterprise graph machine learning framework for billion-scale graphs for ML scientists and data scientists.
List of resources & possible pathway for the Math of Machine Learning and AI.
A High-level Machine Learning Library for Go
Tool that predicts the outcome of a Dota 2 game using Machine Learning
An Open-Source Machine Learning Framework in Rust Δ
Machine Learning Environment - alpha version
Modeltime unlocks time series forecast models and machine learning in one framework
Bug-free machine learning on stochastic computation graphs
Example code and applications for machine learning on Graphcore IPUs
Machine Learning with Symbolic Tensors
Flexible and Extensible Machine Learning in Ruby
Traditional machine learning on top of Nx
Trident-ML : A realtime online machine learning library
🍧 DataCamp data-science and machine learning courses
Lightwood is Legos for Machine Learning.
24,540 repositories in the index in total.
