Browse tools in the GPU & Compute space.
127 tools
Axolotl simplifies the process of experimenting with different training configurations, supporting features like LoRA, Q...
Burn is a comprehensive dynamic Deep Learning framework built using Rust, focusing on extreme flexibility, compute effic...
Candle is a high-performance machine learning framework built in Rust. It focuses on providing an easy-to-use interface ...
DeepSpeed is a library that simplifies the process of scaling up deep learning models by providing efficient distributed...
JAX is a high-performance machine learning library that combines automatic differentiation with hardware acceleration, e...
LightGBM is a fast, distributed, high performance gradient boosting framework based on decision tree algorithms. It is u...
Leverage large language models with high performance and low resource consumption using C/C++. Ideal for developers need...
PyTorch is a deep learning framework that offers dynamic computation graphs and strong GPU support, making it ideal for ...
Ray is a high-performance framework for parallel and distributed computing in Python. It unifies various components of t...
SkyPilot enables developers to run large language models and batch jobs across multiple clouds, offering maximum cost ef...
Web-LLM enables hardware-accelerated language model interactions directly within web browsers, enhancing performance and...
XGBoost is a highly optimized and scalable machine learning library that implements gradient boosting algorithms. It's d...
Bullet Physics SDK provides real-time collision detection and physics simulations suitable for a wide range of applicati...
CatBoost is a general-purpose gradient boosting library that supports categorical features out of the box. It offers fas...
cl-online-learning provides online learning algorithms like Perceptron, AROW, SCW, and Logistic Regression. It is useful...
DockerDL provides pre-configured Docker images that simplify the setup and deployment of deep learning environments, all...
envd is a machine learning development environment designed to streamline the setup and management of ML projects, makin...
Flower is a unified approach to federated learning that supports analytics and evaluation across various workloads, ML f...
H2O is an open-source platform that supports distributed learning on Hadoop, Spark, or locally via APIs in R, Python, Sc...
Katib is a Kubernetes-native platform designed to perform hyperparameter tuning and neural architecture searches, enhanc...
A distributed machine learning library built on top of Apache Spark that enables scalable and efficient data processing ...
ML.NET is a cross-platform open-source machine learning framework that makes machine learning accessible to .NET develop...
mlpack is a scalable C++ machine learning library designed to be both fast and user-friendly. It provides a wide range o...
mpi4py provides Python bindings for the Message Passing Interface (MPI) standard. It allows developers to write parallel...
oneDNN is an open-source cross-platform performance library designed to accelerate deep learning workloads. It provides ...
OpenStack is an open-source platform for building scalable cloud computing environments. It provides a suite of services...
Pinocchio is a fast and flexible library for implementing Rigid Body Dynamics algorithms and their analytical derivative...
PySyft is a Python library that enables secure and private deep learning by providing tools for differential privacy, fe...
Rapaio is a comprehensive Java library for statistical analysis, data mining, and machine learning. It provides develope...
Transformer Engine is a specialized library designed to accelerate the training of Transformer models on NVIDIA GPUs, of...
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