jieson (jiesonshan)

jiesonshan

Geek Repo

Github PK Tool:Github PK Tool

jieson's repositories

jiesonshan.github.io

Shared experience

Language:HTMLLicense:MITStargazers:1Issues:0Issues:0

AI-Competition-Collections

AI比赛经验帖子 & 训练和测试技巧帖子 集锦(收集整理各种人工智能比赛经验帖)

Language:PythonLicense:Apache-2.0Stargazers:0Issues:0Issues:0

data-science-competition

该仓库用于记录作者本人参加的各大数据科学竞赛的获奖方案源码以及一些新比赛的原创baseline. 主要涵盖:kaggle, 阿里天池,华为云大赛校园赛,百度aistudio,和鲸社区,datafountain等

Stargazers:0Issues:0Issues:0

DeepLearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06

License:GPL-3.0Stargazers:0Issues:0Issues:0

DeepLearningExamples

Deep Learning Examples

Stargazers:0Issues:0Issues:0

faker2

不破楼兰终不还

Language:TypeScriptStargazers:0Issues:0Issues:0
Language:TypeScriptStargazers:0Issues:0Issues:0

free-programming-books-zh_CN

:books: 免费的计算机编程类中文书籍,欢迎投稿

License:GPL-3.0Stargazers:0Issues:0Issues:0

interview

📚 C/C++ 技术面试基础知识总结,包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.

License:NOASSERTIONStargazers:0Issues:0Issues:0
Stargazers:0Issues:0Issues:0
License:GPL-3.0Stargazers:0Issues:0Issues:0

jd_Scripts-1

京东自动签到,浇水等薅羊毛脚本

Stargazers:0Issues:0Issues:0

kaggle-solutions

🏅 Collection of Kaggle Solutions and Ideas 🏅

Language:HTMLLicense:MITStargazers:0Issues:0Issues:0

learnopencv

Learn OpenCV : C++ and Python Examples

Stargazers:0Issues:0Issues:0

micronet

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

License:MITStargazers:0Issues:0Issues:0

mmdetection

OpenMMLab Detection Toolbox and Benchmark

Language:PythonLicense:Apache-2.0Stargazers:0Issues:0Issues:0

mmyolo

OpenMMLab YOLO series toolbox and benchmark

License:GPL-3.0Stargazers:0Issues:0Issues:0

MobileSAM

This is the offiicial code for Faster Segment Anything (MobileSAM) project that makes SAM lightweight

License:Apache-2.0Stargazers:0Issues:0Issues:0

pytorch-loss

label-smooth, amsoftmax, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

License:MITStargazers:0Issues:0Issues:0

pytorch_image_classification

PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet

License:MITStargazers:0Issues:0Issues:0

ReadMeter

Read the value of the pointer meter

Stargazers:0Issues:0Issues:0

segment-anything-annotator

We developed a python UI based on labelme and segment-anything for pixel-level annotation. It support multiple masks generation by SAM(box/point prompt), efficient polygon modification and category record. We will add more features (such as incorporating CLIP-based methods for category proposal and VOS methods for video datasets

Stargazers:0Issues:0Issues:0

shufflewzc_faker2

缅怀,自用

License:MITStargazers:0Issues:0Issues:0

SoftTeacher

Semi-Supervised Learning, Object Detection, ICCV2021

License:MITStargazers:0Issues:0Issues:0

TinyNeuralNetwork

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

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

tvm

Open deep learning compiler stack for cpu, gpu and specialized accelerators

License:Apache-2.0Stargazers:0Issues:0Issues:0

tvm_learn

tvm learn

Language:PythonStargazers:0Issues:0Issues:0

voltaML

⚡VoltaML is a lightweight library to convert and run your ML/DL deep learning models in high performance inference runtimes like TensorRT, TorchScript, ONNX and TVM.

License:Apache-2.0Stargazers:0Issues:0Issues:0

yolov5-v6

yolov5 version6.0

License:GPL-3.0Stargazers:0Issues:0Issues:0

yolov5_prune

yolov5 prune,Support V2, V3, V4 and V6 versions of yolov5

License:Apache-2.0Stargazers:0Issues:0Issues:0