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Federated Learning
NVIDIA Federated Learning Application Runtime Environment
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
ChainerMN: Scalable distributed deep learning with Chainer
NCCL Fast Socket is a transport layer plugin to improve NCCL collective communication performance on Google Cloud.
Phoenix is a modern open-source Code Editor for the web, built for the browser.
Group two-dimensional points into hexagonal bins.
The OpenTF Manifesto expresses concern over HashiCorp's switch of the Terraform license from open-source to the Business Source License (BSL) and calls for the tool's return to a truly open-source …
A massively parallel, optimal functional runtime in Rust
A high-throughput and memory-efficient inference and serving engine for LLMs
A high-performance inference system for large language models, designed for production environments.
An autonomous parallel processing engine for the browser.
An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
Neum AI is a best-in-class framework to manage the creation and synchronization of vector embeddings at large scale.
Apache Nutch is an extensible and scalable web crawler
High-speed Large Language Model Serving on PCs with Consumer-grade GPUs
Parallel Extraction from External Data Sources with U-SQL
The modern API client that lives in your terminal.