anyj0527

anyj0527's Stars

• ultralytics/ultralytics

  Ultralytics YOLO11 🚀

  Language:Python34.5k6.6k

• microsoft/onnxruntime

  ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

  Language:C++15.1k3k

• google-ai-edge/LiteRT

  LiteRT is the new name for TensorFlow Lite (TFLite). While the name is new, it's still the same trusted, high-performance runtime for on-device AI, now with an expanded vision.

  Language:C++20016

• google-ai-edge/ai-edge-torch

  Supporting PyTorch models with the Google AI Edge TFLite runtime.

  Language:Jupyter Notebook39952

• google-ai-edge/model-explorer

  A modern model graph visualizer and debugger

  Language:JavaScript1.1k89

• karpathy/llm.c

  LLM training in simple, raw C/CUDA

  Language:Cuda24.8k2.8k

• phil-opp/blog_os

  Writing an OS in Rust

  Language:HTML16k1.1k

• heyman/heynote

  A dedicated scratchpad for developers

  Language:JavaScript4.1k206

• nnstreamer/deviceMLOps.MLAgent

  TBD: deviceMLOps.service or deviceMLOps.MLAgent.

  Language:C++47

• VeriSilicon/TIM-VX

  VeriSilicon Tensor Interface Module

  Language:C22984

• nxp-imx/nnshark

  Live Profiler for NNStreamer

  Language:C18

• nxp-imx/meta-imx

  i.MX Yocto Project i.MX BSP Layer

  Language:BitBake6775

• VeriSilicon/tflite-vx-delegate

  Tensorflow Lite external delegate based on TIM-VX

  Language:C++4424

• pytorch/executorch

  On-device AI across mobile, embedded and edge for PyTorch

  Language:C++2.3k407

• vitoplantamura/OnnxStream

  Lightweight inference library for ONNX files, written in C++. It can run Stable Diffusion XL 1.0 on a RPI Zero 2 (or in 298MB of RAM) but also Mistral 7B on desktops and servers. ARM, x86, WASM, RISC-V supported. Accelerated by XNNPACK.

  Language:C++1.9k86

• ggerganov/whisper.cpp

  Port of OpenAI's Whisper model in C/C++

  Language:C++36.5k3.7k

• PINTO0309/tflite2tensorflow

  Generate saved_model, tfjs, tf-trt, EdgeTPU, CoreML, quantized tflite, ONNX, OpenVINO, Myriad Inference Engine blob and .pb from .tflite. Support for building environments with Docker. It is possible to directly access the host PC GUI and the camera to verify the operation. NVIDIA GPU (dGPU) support. Intel iHD GPU (iGPU) support. Supports inverse quantization of INT8 quantization model.

  Language:Python26842

• PINTO0309/PINTO_model_zoo

  A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.

  Language:Python3.7k578

• google-ai-edge/mediapipe

  Cross-platform, customizable ML solutions for live and streaming media.

  Language:C++28.1k5.2k

• Tencent/ncnn

  ncnn is a high-performance neural network inference framework optimized for the mobile platform

  Language:C++20.7k4.2k

• nnstreamer/aitt

  Language:C++105

• tensorflow/tensorflow

  An Open Source Machine Learning Framework for Everyone

  Language:C++187k74.4k

• nnstreamer/nnstreamer

  :twisted_rightwards_arrows: Neural Network (NN) Streamer, Stream Processing Paradigm for Neural Network Apps/Devices.

  Language:C++725172

• PINTO0309/TensorflowLite-bin

  Prebuilt binary for TensorFlowLite's standalone installer. For RaspberryPi. A very lightweight installer. I provide a FlexDelegate, MediaPipe Custom OP and XNNPACK enabled binary.

  Language:Shell20935

• nnstreamer/nnstreamer-edge

  Remote source nodes for NNStreamer pipelines without GStreamer dependencies

  Language:C1617

• RidgeRun/gst-shark

  GstShark is a front-end for GStreamer traces

  Language:C9745

• google/XNNPACK

  High-efficiency floating-point neural network inference operators for mobile, server, and Web

  Language:C1.9k375

• Snec/gst-gz

  GStreamer plugin for gzip and zlib compression and decompression.

  Language:C31

• nnstreamer/api

  Machine Learning API (Origin: C++: SNAP, C/C#: Tizen API, Java: Samsung-Research ML API). For Web/JS, https://git.tizen.org/cgit/platform/core/api/webapi-plugins/

  Language:C2325

• pytorch/pytorch

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

  Language:Python85.3k23k