26 projects
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
47,170
Organizations
6,145
Software value
$198M
PyTorch
PyTorch is an open source machine learning framework that accelerates the path from research prototyping to production deployment.
Contributors
40,722
Organizations
5,567
Software value
$123M
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
17,970
Organizations
2,614
Software value
$7.8M
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
9,224
Organizations
478
Software value
$107M
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
7,410
Organizations
1,477
Software value
$4.5M
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
6,107
Organizations
1,124
Software value
$20M
DeepRec
The mission of the Project is to develop a high-performance recommendation deep learning framework.
Contributors
2,724
Organizations
276
Software value
$160M
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
2,601
Organizations
544
Software value
$5.5M
Horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Contributors
2,264
Organizations
335
Software value
$2.8M
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
1,921
Organizations
338
Software value
$13M
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
1,726
Organizations
71
Software value
$122M
TT-Metal
TT-Metal is a software framework for programming Tenstorrent AI accelerator chips, providing low-level hardware access and control capabilities for machine learning workloads
Contributors
1,346
Organizations
76
Software value
$67M
FlagAI
The mission of the Project is to develop a fast, easy-to-use and extensible toolkit for large-scale AI modeling, with the goal of supporting training, fine-tuning, and deployment of large-scale models on various downstream tasks with multi-modality.
Contributors
364
Organizations
32
Software value
$47M
Elastic Deep Learning (EDL)
Elastic Deep Learning using PaddlePaddle and Kubernetes.
Contributors
56
Organizations
9
Software value
$692K
Caffe
Caffe: a fast open framework for deep learning.
This project hasn't been onboarded to LFX Insights.
Chainer
A flexible framework of neural networks for deep learning
This project hasn't been onboarded to LFX Insights.
Colossal-AI
Making large AI models cheaper, faster and more accessible
This project hasn't been onboarded to LFX Insights.
MLX
MLX: An array framework for Apple silicon
This project hasn't been onboarded to LFX Insights.
MNN
MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba. Full multimodal LLM Android App:[MNN-LLM-Android](./apps/Android/MnnLlmChat/README.md)
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.
NeMo
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
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.
Relax
Relax is a Linux Foundation project focused on providing tools or frameworks for system relaxation, potentially offering solutions for stress management, system optimization, or resource allocation in computing environments.
This project hasn't been onboarded to LFX Insights.
TensorFlow.js
A WebGL accelerated JavaScript library for training and deploying ML models.
This project hasn't been onboarded to LFX Insights.