19 projects
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TensorFlow
TensorFlow is an open-source machine learning framework developed by Google that enables numerical computation and large-scale machine learning. It provides a flexible system for defining and executing computations involving tensors, which are multi-dimensional arrays. The framework supports deep learning and neural networks across multiple platforms and devices.
Contributors
47,078
Organizations
6,189
Software value
$196M
Keras
Keras is an open-source deep learning framework that provides a Python interface for artificial neural networks. It serves as a high-level API capable of running on top of multiple backend engines including TensorFlow, offering a user-friendly, modular, and extensible way to build and train deep learning models.
Contributors
17,936
Organizations
2,635
Software value
$7.6M
Ray
Ray is an open-source unified framework for scaling AI and Python applications. It provides a simple, universal API for building distributed applications and includes libraries for machine learning, serving, streaming, and more. Ray enables developers to parallelize single-machine code with minimal code changes and scale applications from a laptop to a cluster.
Contributors
8,463
Organizations
1,462
Software value
$47M
PaddlePaddle
PaddlePaddle is an open-source deep learning platform developed by Baidu that provides a comprehensive suite of tools for AI model development, training, and deployment. It features an easy-to-use API, high performance distributed training capabilities, and extensive support for various deep learning applications including computer vision, natural language processing, and speech recognition.
Contributors
8,412
Organizations
461
Software value
$105M
JAX
JAX is a high-performance numerical computing and machine learning library that combines Numpy's familiar API with GPU and TPU hardware acceleration. It features automatic differentiation, just-in-time compilation, and enables writing transformable numerical programs.
Contributors
6,030
Organizations
1,109
Software value
$20M
fastai
fastai is a deep learning library and educational platform that simplifies training fast and accurate neural networks using modern best practices. It provides high-level components for training models with state-of-the-art results in computer vision, natural language processing, tabular data analysis, and collaborative filtering.
Contributors
2,600
Organizations
545
Software value
$5.5M
tinygrad
tinygrad is a minimalist deep learning framework designed to be simple, lightweight, and easy to understand. It implements neural network operations and autograd functionality in pure Python, allowing users to build and train neural networks with minimal dependencies.
Contributors
1,884
Organizations
335
Software value
$15M
MindSpore
MindSpore is an open-source deep learning framework that provides a unified training and inference experience across different devices and platforms. It features automatic differentiation, dynamic debugging capabilities, and hardware optimization for AI model development.
Contributors
1,728
Organizations
73
Software value
$122M
FATE Project
FATE is an open-source project initiated by Webank’s AI Department to provide a secure computing framework to support the federated AI ecosystem.
Contributors
1,643
Organizations
110
Software value
$36M
PyTorch Lightning
PyTorch Lightning is a lightweight PyTorch wrapper that helps researchers and engineers train deep learning models with high performance at scale. It provides a high-level interface for organizing PyTorch code, automating complex training features like distributed training, mixed precision, and model checkpointing while removing boilerplate code.
Contributors
1,222
Organizations
178
Software value
$4.5M
Angel
A Flexible and Powerful Parameter Server for large-scale machine learning.
Contributors
482
Organizations
57
Software value
$23M
Colossal-AI
Making large AI models cheaper, faster and more accessible
This project hasn't been onboarded to LFX Insights.
H2O.ai Opensource Platform
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
This project hasn't been onboarded to LFX Insights.
HeAT
Distributed tensors and Machine Learning framework with GPU and MPI acceleration in Python
This project hasn't been onboarded to LFX Insights.
ML.NET
ML.NET is an open source and cross-platform machine learning framework for .NET.
This project hasn't been onboarded to LFX Insights.
MXNet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
This project hasn't been onboarded to LFX Insights.
OneFlow
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
This project hasn't been onboarded to LFX Insights.
TensorFlow Lite for Microcontrollers
Infrastructure to enable deployment of ML models to low-power resource-constrained embedded targets (including microcontrollers and digital signal processors).
This project hasn't been onboarded to LFX Insights.