tonyzhangnxp

tonyzhangnxp's Stars

• microsoft/ML-For-Beginners

  12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

  Language:HTML70.2k1k13614.7k

• mozilla/DeepSpeech

  DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

  Language:C++25.5k6732.1k4k

• Megvii-BaseDetection/YOLOX

  YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

  Language:Python9.5k771.5k2.2k

• LianjiaTech/BELLE

  BELLE: Be Everyone's Large Language model Engine（开源中文对话大模型）

  Language:HTML8k108442762

• dbolya/yolact

  A simple, fully convolutional model for real-time instance segmentation.

  Language:Python5.1k1057931.3k

• 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:Python3.6k115340578

• adamcohenhillel/ADeus

  An open source AI wearable device that captures what you say and hear in the real world and then transcribes and stores it on your own server. You can then chat with Adeus using the app, and it will have all the right context about what you want to talk about - a truly personalized, personal AI.

  Language:TypeScript3k5735298

• dog-qiuqiu/MobileNet-Yolo

  MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:

  Language:C1.7k3434278

• OpenPPL/ppq

  PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.

  Language:Python1.6k17236239

• tensorflow/model-optimization

  A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.

  Language:Python1.5k120359324

• 52CV/CVPR-2023-Papers

  93816777

• mit-han-lab/tinyengine

  [NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning; [NeurIPS 2022] MCUNetV3: On-Device Training Under 256KB Memory

  Language:C8222277133

• alibaba/TinyNeuralNetwork

  TinyNeuralNetwork is an efficient and easy-to-use deep learning model compression framework.

  Language:Python76921148117

• ARM-software/CMSIS-FreeRTOS

  FreeRTOS adaptation for CMSIS-RTOS Version 2

  Language:C5446169143

• google-ai-edge/ai-edge-torch

  Supporting PyTorch models with the Google AI Edge TFLite runtime.

  Language:Jupyter Notebook397299851

• davidtvs/PyTorch-ENet

  PyTorch implementation of ENet

  Language:Python392756129

• Jungjee/RawNet

  Official repository for RawNet, RawNet2, and RawNet3

  Language:Python363153253

• e-lab/ENet-training

  Language:Lua351397388

• kwotsin/TensorFlow-ENet

  TensorFlow implementation of ENet

  Language:Python2571341123

• idstcv/ZenNAS

  Language:Python223103638

• Arm-China/Model_zoo

  Zhouyi model zoo

  936716

• bubbliiiing/yolox-keras

  这是一个yolox-keras的源码，可以用于训练自己的模型。

  Language:Python653915

• jvcss/PyInstallerStreamlit

  Language:HTML582716

• nxp-mcuxpresso/OpenART

  Language:C573515

• lisosia/tflite-flops

  Roughly calculate FLOPs of a tflite model

  Language:Python36414

• NXP/eiq-model-zoo

  A collection of machine learning models for vision optimized for NXP products

  Language:Python19324

• bubbliiiing/yolact-tf2

  这是一个yolact-tensorflow2的库，可用于训练自己的数据集

  Language:Python9203

• nxp-mcuxpresso/auto_label_dataset

  Auto Label tool to label and create object detection (OD) data sets. Supports importing JPGE, JPG pictures or MP4 format videos, automatically marking objects within pictures or use mouse to draw a frame in pictures and label object types. The automatic annotation function is realized by Yolo V7 model, which is trained based on coco data set.

  Language:Python410

• ranjiewwen/TF_cifar10

  The cifar10 classification project completed by tensorflow, including complete training, prediction, visualization, independent of each module of the project, and convenient expansion.

  Language:Python4301

• frenchping/micropython

  MicroPython - a lean and efficient Python implementation for microcontrollers and constrained systems

  Language:C110