jiajiyuan

jiajiyuan's Stars

• mlcommons/inference_results_v0.5

  This repository contains the results and code for the MLPerf™ Inference v0.5 benchmark.

  Language:C++5543

• lyhue1991/eat_tensorflow2_in_30_days

  Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

  Language:Python10k2.5k

• keras-team/keras-applications

  Reference implementations of popular deep learning models.

  Language:Python2k907

• awni/ecg

  Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network

  Language:Python688265

• mohuangrui/ucasthesis

  LaTeX Thesis Template for the University of Chinese Academy of Sciences

  Language:TeX3.5k934

• eriklindernoren/PyTorch-YOLOv3

  Minimal PyTorch implementation of YOLOv3

  Language:Python7.3k2.6k

• Lam1360/YOLOv3-model-pruning

  在 oxford hand 数据集上对 YOLOv3 做模型剪枝（network slimming）

  Language:Python1.7k432

• tanluren/yolov3-channel-and-layer-pruning

  yolov3 yolov4 channel and layer pruning, Knowledge Distillation 层剪枝，通道剪枝，知识蒸馏

  Language:Python1.5k446

• amusi/awesome-object-detection

  Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

  7.4k1.9k

• coldlarry/YOLOv3-complete-pruning

  提供对YOLOv3及Tiny的多种剪枝版本，以适应不同的需求。

  Language:Jupyter Notebook793214

• ankur219/ECG-Arrhythmia-classification

  ECG arrhythmia classification using a 2-D convolutional neural network

  Language:Python307117

• ultralytics/yolov3

  YOLOv3 in PyTorch > ONNX > CoreML > TFLite

  Language:Python10.2k3.4k

• huawei-noah/Efficient-Computing

  Efficient computing methods developed by Huawei Noah's Ark Lab

  Language:Jupyter Notebook1.2k210

• TheAlgorithms/Python

  All Algorithms implemented in Python

  Language:Python194k45.6k

• zhedahht/CodingInterviewChinese2

  《剑指Offer：名企面试官精讲典型编程面试题》第二版源代码

  Language:C++5.3k2.2k

• xiaohu2015/DeepLearning_tutorials

  The deeplearning algorithms implemented by tensorflow

  Language:Jupyter Notebook1.8k770

• ayooshkathuria/YOLO_v3_tutorial_from_scratch

  Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"

  Language:Python2.3k724

• rafaelpadilla/Object-Detection-Metrics

  Most popular metrics used to evaluate object detection algorithms.

  Language:Python5k1k

• princeton-vl/CornerNet

  Language:Python2.4k475

• soumith/ganhacks

  starter from "How to Train a GAN?" at NIPS2016

  11.5k1.7k

• nashory/gans-awesome-applications

  Curated list of awesome GAN applications and demo

  5k809

• Ewenwan/MVision

  机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶

  Language:C++8k2.8k

• akofman/wider-face-pascal-voc-annotations

  WIDER FACE annotations converted to the Pascal VOC XML format

  Language:Python8049

• open-mmlab/mmdetection

  OpenMMLab Detection Toolbox and Benchmark

  Language:Python29.5k9.4k

• facebookresearch/maskrcnn-benchmark

  Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

  Language:Python9.3k2.5k

• pytorch/tutorials

  PyTorch tutorials.

  Language:Jupyter Notebook8.2k4.1k

• quark0/darts

  Differentiable architecture search for convolutional and recurrent networks

  Language:Python3.9k842

• Xilinx/graffitist

  Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow

  Language:Python16834

• submission2019/cnn-quantization

  Quantization of Convolutional Neural networks.

  Language:Python23960

• Tencent/ncnn

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

  Language:C++20.4k4.2k