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Run frontier AI models locally across devices using RDMA and tensor parallelism
DeepSpeed optimizes deep learning training and inference with distributed computing techniques.
Ray is a unified framework for scaling AI and Python applications with distributed computing and ML libraries.
Colossal-AI optimizes large AI model training and inference with distributed computing and GPU acceleration.
Progress bar for Python and CLI
Taichi Lang is a high-performance GPU programming language embedded in Python for numerical computation and parallel execution.
PaddlePaddle is a deep learning framework for industrial-scale ML, offering distributed training, model deployment, and Python/C++ support.
Bend is a massively parallel, high-level programming language written in Rust for building AI-powered applications.
A high-performance gradient boosting framework for machine learning tasks like ranking, classification, and more.
A comprehensive guide to modern Java 8 features, including lambda expressions and parallel streams.
A high-performance, zero-overhead, and extensible Python compiler with built-in NumPy support.
A JavaScript library for GPU-accelerated parallel computations, enabling high-performance graphics and data processing on the web.
A C++ framework for parallel computing and asynchronous networking, supporting a variety of backends like Consul, Kafka, and Redis.
Dask is a Python library for parallel computing and distributed data processing, providing a scalable alternative to NumPy and Pandas.
Optuna is a hyperparameter optimization framework that enables efficient and scalable model tuning for machine learning.
Rayon: a data parallelism library for Rust that enables efficient parallel programming.
A high-performance task-parallel programming system for C++ developers building concurrent and heterogeneous applications.
Hydra is a parallelized login cracker which supports numerous protocols to authenticate against remote services.
A high-performance functional runtime in Rust for developers building AI-powered applications.
Razzle is a framework for creating server-rendered universal JavaScript applications with no configuration.
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