Showing 301-320 of 799 projects
Hercules is a Go library for mining software repositories, providing advanced insights from Git history analysis.
A high-performance neural network libraries for deep learning written in Python.
A Rust-based deep learning library that aims to achieve high performance and low latency for AI applications.
A repository with papers, code, and experiments using deep learning for time series forecasting.
Python library for optimal transport and related problems, useful for machine learning tasks.
A simple and easy-to-use TensorFlow cookbook for developers working with AI tools.
Enables PyTorch, a popular machine learning library, to run on XLA devices like Google TPUs.
A unified framework for large-scale data computation that scales popular Python data tools like NumPy, Pandas, and Scikit-Learn.
A distributed machine learning toolkit from Microsoft for building scalable AI and ML models.
A deep learning-based recommender system for developers working with AI tools and frameworks.
A curated list of awesome compiler projects and papers for tensor computation and deep learning.
A PyTorch implementation of the Efficient Neural Architecture Search (ENAS) algorithm for AI model optimization.
Bayesian optimization & Reinforcement Learning library for AI/ML developers from Huawei Noah's Ark Lab
A PyTorch repository providing pre-trained models and datasets for common computer vision tasks.
A Python library for removing objects from videos using computer vision and PyTorch.
A collection of machine learning tools in JavaScript for developers to build AI-powered applications.
Resource scheduling and cluster management for AI workloads on Kubernetes and other platforms.
An open-source robotics simulation platform for developing and testing AI-driven robots in virtual environments.
A machine learning platform for web developers to build and deploy AI-powered applications.
NVIDIA GPU Operator manages GPUs in Kubernetes for developers building AI-powered applications.
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