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deep-learning-model-convertor. The convertor/conversion of deep learning models for different deep learning frameworks/softwares.
3.2kembedded-ai.bi-weekly. Weekly report and awesome list of embedded-ai.
385Chinese-UFLDL-Tutorial. [UNMAINTAINED] 非监督特征学习与深度学习中文教程,该版本翻译自新版 UFLDL Tutorial 。建议新人们去学习斯坦福的CS231n课程,该门课程在网易云课堂上也有一个配有中文字幕的版本。
352OpenCL-101. Learn OpenCL step by step.
140OpenMP-101. Learn OpenMP examples step by step
105statistical-learning-methods-note. 李航《统计学习方法》笔记和 Python 实现(不基于任何代数运算库)。
59darknet2caffe. Convert Darknet model to Caffe's
51Douban-Crawler. 抓取豆瓣小组相关信息(小组、用户、帖子)。
31android-reverse-engineering. android-reverse-engineering
27link-prediction. [UNMAINTAINED] 基于PySpark与MySQL的复杂网络链路预测。
23sword-x-offer. 66 classic and common interview problems from 《剑指offer》 with multiple-method-CPP solutions, and common data structure summary, etc
20awesome-deep-learning-finetune-experience. This repository not only contains experience about parameter finetune, but also other in-practice experience such as model ensemble (boosting, bagging and stacking) in Kaggle or other competitions.
16darknet-to-caffe-model-convertor. Move forward to https://github.com/ysh329/darknet2caffe
8cv-template. LaTeX resume template
7deep-learning-model-archtecture-design-advice.
6Chatter-Bot-CN. 基于ChatterBot框架,做一个中文聊天机器人。
5kaggle-cervical-cancer-screening-classification. Solution and summary for Intel & MobileODT Cervical Cancer Screening (3-class classification)
5logging. A light-weight C++ logging for mobile.
5git-101.
5kaggle-lung-cancer-classification. kaggle data science bowl 2017 solution
4spam-msg-classifier. A spam message classifier based on Naive Bayes.
4naive-binary-gemm. C
4tmp. C++
2stock-newspaper-crawler. [UNMAINTAINED]Crawl 4 kinds of finance newspaper corpus (from CCSTOCK.CN).
2tvm. End to end Tensor IR/DSL stack for deploying deep learning workloads to hardwares
2onnx. Open standard for machine learning interoperability
2caffe-tools. Python
2Chinese-word-segmentation. Accomplish Chinese word segmentation by Python.
2tiny-deep-learning-models. fast, tiny deep learning models for mobile and embedded devices
2add-license-for-repo. Add license content for each file in repository recursively
2lrslibrary. Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos
2mace. MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.
2ncnn. ncnn is a high-performance neural network inference framework optimized for the mobile platform
2OpenCV. 计算机视觉OpenCV库的练习。
2pyTextRank. 基于 PageRank 的关键词提取,关键句子提取(摘要)算法的 Python 实现。此外,还有一个基于此的句子相似度算法。
2examples. A set of examples around MegEngine
1mmocr. OpenMMLab Text Detection, Recognition and Understanding Toolbox
1MegFlow. Efficient ML solutions for long-tailed demands.
1YiYiYa. YiYiYa 一个os
1.tmux. 🇫🇷 Oh my tmux! My self-contained, pretty & versatile tmux configuration made with ❤️
1dlsyscourse-hw0. Jupyter Notebook
1mindspore. MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
1EliteDaMyth.
1taichi. Parallel programming for everyone.
1ppl.nn. A primitive library for neural network
1taichicon. TaichiCon: Taichi Conferences
1flaskDemo. 使用 Python+Flask+MySQL+Redis 开发简单接口实例
1ysh329.
1MNN. MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
1Homework. This reposity mainly contains homework from courera, edx, etc.
1DataMiningAlgorithm. 数据挖掘18大算法实现以及其他相关经典DM算法
1deep-learning-operator. implementation, benchmark, optimization
1kaggle-dog-cat-classification.
1awesome-deep-learning. A curated list of awesome Deep Learning tutorials, projects and communities.
1Paddle-Lite-1. Multi-platform high performance deep learning inference engine (『飞桨』多平台高性能深度学习预测引擎)
1embedded_ai. https://ysh329.github.io/embedded_ai/
1Django-TODO. A TODO list project by Django
1Kaggle-iNaturalist. MXNet finetune baseline (res152) for iNaturalist Challenge at FGVC 2017
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