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
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
Supervisely SDK for Python - convenient way to automate, customize and extend Supervisely Platform for your computer vision task
GEKKO Python for Machine Learning and Dynamic Optimization
DeepTab is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and distributional regression tasks. It includes models such as Mambular, TabM, FT-Transformer, TabulaRNN, TabTransformer, and tabular ResNets.
A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, classification, clustering, forecasting, anomaly detection, cleaning) on incomplete industrial irregularly-sampled multivariate TS with NaN missing values
DECIMER Image Transformer is a deep-learning-based tool designed for automated recognition of chemical structure images. Leveraging transformer architectures, the model converts chemical images into SMILES strings, enabling the digitization of chemical data from scanned documents, literature, and patents.
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Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations
ML.NET is an open source and cross-platform machine learning framework for .NET.
Myria3D: Aerial Lidar HD Semantic Segmentation with Deep Learning
A Python library for simulation-based inference with deep learning
A framework for high-performance medical image processing, neural network inference and visualization
Data manipulation and transformation for audio signal processing, powered by PyTorch
A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine
Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem. ⭐ Star to support our work!
A high-performance machine learning library in pure Rust, offering statistical utilities, ML algorithms and neural networks.
Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization
High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
Machine learning algorithms for many-body quantum systems
Deep learning ECG models implemented using PyTorch
OpenNN - Open Neural Networks Library
A high-level machine learning and deep learning library for the PHP language.
24,545 repositories in the index in total.
