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
[ICML 2024 Best Paper] Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution (https://arxiv.org/abs/2310.16834)
Official PyTorch implementation of ODISE: Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models [CVPR 2023 Highlight]
Train high-quality text-to-image diffusion models in a data & compute efficient manner
Using Diffusion Models to Segment/Reconstruct Organs from Medical Images [AAAI Most influential Paper]
Label-Efficient Semantic Segmentation with Diffusion Models (ICLR'2022)
Audio generation using diffusion models, in PyTorch.
Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)
The library contains a number of interconnected Java packages that implement machine learning and artificial intelligence algorithms. These are artificial intelligence algorithms implemented for the kind of people that like to implement algorithms themselves.
A standardized Python API with necessary preprocessing, machine learning and explainability tools to facilitate graph-analytics in computational pathology.
A machine learning project. Turn on your webcam. Mona Lisa's eyes will follow you around.
.NET bindings for PyTorch. Machine Learning with C# / F# with Multi-GPU/CPU support
Simple machine learning library / 簡單易用的機器學習套件
DeepHyper: A Python Package for Massively Parallel Hyperparameter Optimization in Machine Learning
Website for "A Survey of Machine Learning for Big Code and Naturalness"
Machine learning framework for Node.js.
An end-to-end machine learning and data mining framework on Hadoop
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
Personal short implementations of Machine Learning papers
MindMaker UE4 Machine Learning Toolkit
A universal scalable machine learning model deployment solution
🤖 A curated list of machine learning & artificial intelligence startups in Berlin (Germany)
机器学习工程师、算法工程师、软件工程师、数据科学家-面试指南 | Interview guide for MLE, SDE, DS
Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Matrix Factorization, Koren Neighborhood Model, Koren Integrated Model, Dawid-Skene, Platt-Burges, Expectation Maximization, Factor Analysis, ISTA, FISTA, ADMM, Gaussian Mixture Model, OPTICS, DBSCAN, Random Forest, Decision Tree, Support Vector Machine, Independent Component Analysis, Latent Semantic Indexing, Principal Component Analysis, Singular Value Decomposition, K Nearest Neighbors, K Means, Naïve Bayes Mixture Model, Gaussian Discriminant Analysis, Newton Method, Coordinate Descent, Gradient Descent, Elastic Net Regression, Ridge Regression, Lasso Regression, Least Squares, Logistic Regression, Linear Regression
Implementation of a single layer of the MMDiT, proposed in Stable Diffusion 3, in Pytorch
24,540 repositories in the index in total.
