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Backward compatible ML compute opset inspired by HLO/MHLO
A machine learning compiler for GPUs, CPUs, and ML accelerators
Self-contained Machine Learning and Natural Language Processing library in Go
Efficient Triton Kernels for LLM Training
typed and compiled template engine inspired by jinja2, twig and onionhammer/nim-templates for Nim.
Any model. Any hardware. Zero compromise. Built with @ziglang / @openxla / MLIR / @bazelbuild
Simple, safe way to store and distribute tensors
Overworld's local world client interface to run Waypoint world models
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
Several optimization methods of half-precision general matrix vector multiplication (HGEMV) using CUDA core.
High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.
An implementation of SGEMV with performance comparable to cuBLAS.
Convert reddit jsonl to local html and cleaned training data with local media downloads
Implementation of the canonical JSON format (ProtoJSON) for protobuf.
Fast Open-Source Search & Clustering engine × for Vectors & Arbitrary Objects × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
Baguetter is a flexible, efficient, and hackable search engine library implemented in Python. It's designed for quickly benchmarking, implementing, and testing new search methods. Baguetter support…
Fast ML inference & training for ONNX models in Rust
Lite & Super-fast re-ranking for your search & retrieval pipelines. Supports SoTA Listwise and Pairwise reranking based on LLMs and cross-encoders and more. Created by Prithivi Da, open for PRs & C…