Pinned Repositories
--Embedding
通过IMDB数据集对词嵌入进行介绍，并且采用了预训练的词嵌入在200个训练集上达到50%以上的准确度！
-III-
给定一个数组，它的第 i 个元素是一支给定的股票在第 i 天的价格。 设计一个算法来计算你所能获取的最大利润。你最多可以完成 两笔 交易。 注意: 你不能同时参与多笔交易（你必须在再次购买前出售掉之前的股票）。
-v1
利用captcha.image的ImageCaptcha模块自动生成验证码图片；借鉴AlexNet的神经网络进行模型搭建进行验证码识别（亮点在于最后的四个全连接神经网络）；利用keras.utils.vis_utils的plot_model的模块进行Keras模型可视化；不同损失函数的对比和模型训练过程的分析；
Auto_driving_recognize
自动驾驶，汽车识别
compare-LIBSVM-with-Linear-and-Gassian-Kernel
西瓜书第六章习题6.2： 试用LIBSVM，在西瓜数据集3.0α 上分别用线性核和高斯核训练一个SVM，并比较其支持向量的差别。
CrawlSpider_-
通过使用CrawlSpider进行深度爬取，涉及到①正则表达式解决页面结构不统一的问题；②通过LinkExtractor中的restrict_xpaths限制爬取链接的条件；③通过selenium无界面浏览器解决文本（下载链接）js加密问题
gcn_keras_Implement
用自定义的层实现图卷积神经网络GCN
House-price-forecast
基于TensorFlow的房价预测，包括了对pandas，seaborn，tensorBoard的基本学习，对回归模型的理解，对表格数据处理的操作
MNIST_Softmax_CNN
采用了单纯的Softmax和CNN网络进行手写体数字识别，采用Keras框架的Sequential模型，里面涉及了卷积，池化，dropout，Dense，Flatten；对于手写数据集获取方式也有说明，而不再不是用已经被官方弃用的方法；数据处理以及可视化数据和结果；模型的编译，训练，保存，加载都有涉及
Two-level-Attention-for-Arrhythmia-Detection
hierarchyJK's Repositories
hierarchyJK/cmake-examples
Useful CMake Examples
hierarchyJK/Cpp-0-1-Resource
C++ 匠心之作 从0到1入门资料
hierarchyJK/GNNPapers
Must-read papers on graph neural networks (GNN)
hierarchyJK/GraphSAGE
Representation learning on large graphs using stochastic graph convolutions.
hierarchyJK/tensorflow-onnx
Convert TensorFlow, Keras and Tflite models to ONNX
hierarchyJK/apachecn-dl-zh
ApacheCN 深度学习译文集
hierarchyJK/awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
hierarchyJK/caffe-face
This branch is developed for deep face recognition
hierarchyJK/cmake-examples-Chinese
快速入门CMake,通过例程学习语法。在线阅读地址：https://sfumecjf.github.io/cmake-examples-Chinese/
hierarchyJK/cmake_example
Example pybind11 module built with a CMake-based build system
hierarchyJK/CMakeTutorial
CMake中文实战教程
hierarchyJK/ColossalAI
Colossal-AI: A Unified Deep Learning System for Large-Scale Parallel Training
hierarchyJK/Deep-Learning-with-TensorFlow-book
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
hierarchyJK/Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
hierarchyJK/detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
hierarchyJK/dlwpt-code
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
hierarchyJK/horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
hierarchyJK/hugo
The world’s fastest framework for building websites.
hierarchyJK/Markdown
Markdown 基本语法。
hierarchyJK/MIT-Linear-Algebra-Notes
Notes for MIT-Linear-Algebra
hierarchyJK/neural_network_papers
记录一些读过的论文，给出个人对论文的评分情况并简述论文insight
hierarchyJK/nmt
TensorFlow Neural Machine Translation Tutorial
hierarchyJK/onnx-tensorrt
ONNX-TensorRT: TensorRT backend for ONNX
hierarchyJK/README
README文件语法解读，即Github Flavored Markdown语法介绍
hierarchyJK/slambook
hierarchyJK/TensorRT
TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.
hierarchyJK/thorough-pytorch
PyTorch入门教程，在线阅读地址：https://datawhalechina.github.io/thorough-pytorch/
hierarchyJK/ThreeDPoseUnityBarracuda
Unity sample of 3D pose estimation using Barracuda
hierarchyJK/vue-cli
🛠️ Standard Tooling for Vue.js Development
hierarchyJK/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite