Popular GitHub Repositories for Fp64

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

中文LLaMA-2 & Alpaca-2大模型二期项目 + 64K超长上下文模型 (Chinese LLaMA-2 & Alpaca-2 LLMs with 64K long context models)

Speech-to-text, text-to-speech, speaker diarization, speech enhancement, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, HarmonyOS, Raspberry Pi, RISC-V, x86_64 servers, websocket server/client, support 11 programming languages

Tengine is a lite, high performance, modular inference engine for embedded device

oneAPI Deep Neural Network Library (oneDNN)

The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.

A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilization in both training and inference.

Cross-platform, customizable multimedia/video processing framework. With strong GPU acceleration, heterogeneous design, multi-language support, easy to use, multi-framework compatible and high performance, the framework is ideal for transcoding, AI inference, algorithm integration, live video streaming, and more.

TinyChatEngine: On-Device LLM Inference Library

Microsoft Automatic Mixed Precision Library

中文Mixtral混合专家大模型（Chinese Mixtral MoE LLMs）

vendor independent TinyML deep learning library, compiler and inference framework microcomputers and micro-controllers

InsightFace REST API for easy deployment of face recognition services with TensorRT in Docker.

Prebuilt binary with Tensorflow Lite enabled. For RaspberryPi / Jetson Nano. Support for custom operations in MediaPipe. XNNPACK, XNNPACK Multi-Threads, FlexDelegate.

An innovative library for efficient LLM inference via low-bit quantization

A Go (golang) library wrapping microsoft/onnxruntime.

Maxine VM: A meta-circular research VM

Flux diffusion model implementation using quantized fp8 matmul & remaining layers use faster half precision accumulate, which is ~2x faster on consumer devices.

Highly optimized inference engine for Binarized Neural Networks

Objeck is a modern object-oriented programming language with functional features tailored for machine learning. It emphasizes expression, simplicity, portability, and scalability. The programming environment consists of a compiler, virtual machine, REPL shell, and command line debugger with IDE plugins.