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PlotNeuralNet

Latex code for making neural networks diagrams

MIM

Code release for "Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics" (CVPR 2019)

predrnn-pytorch

Official implementation for NIPS'17 paper: PredRNN: Recurrent Neural Networks for Predictive Learning Using Spatiotemporal LSTMs.

Convolutional_LSTM_PyTorch

Multi-layer convolutional LSTM with Pytorch

ConvLSTM_pytorch

Implementation of Convolutional LSTM in PyTorch.

koro1FileHeader

VSCode插件：自动生成，自动更新VSCode文件头部注释, 自动生成函数注释并支持提取函数参数，支持所有主流语言，文档齐全，使用简单，配置灵活方便，持续维护多年。

Stock-price-prediction-using-GAN

In this project, we will compare two algorithms for stock prediction. First, we will utilize the Long Short Term Memory(LSTM) network to do the Stock Market Prediction. LSTM is a powerful method that is capable of learning order dependence in sequence prediction problems. Furthermore, we will utilize Generative Adversarial Network(GAN) to make the prediction. LSTM will be used as a generator, and CNN as a discriminator. In addition, Natural Language Processing(NLP) will also be used in this project to analyze the influence of News on stock prices.

wgan-gp

A pytorch implementation of Paper "Improved Training of Wasserstein GANs"

wsl-terminal

Terminal emulator for Windows Subsystem for Linux (WSL)

named_entity_recognition

中文命名实体识别（包括多种模型：HMM，CRF，BiLSTM，BiLSTM+CRF的具体实现）

deeplearningbook-chinese

Deep Learning Book Chinese Translation

PPT_automation_tool

Designed a tool to automate the process of making powerpoint

competition-baseline

数据挖掘、计算机视觉、自然语言处理、推荐系统竞赛知识、代码、思路

books

【编程随想】收藏的电子书清单（多个学科，含下载链接）

mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

MixMatch-pytorch

Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"

mixmatch

hsmmlearn

A library for hidden semi-Markov models with explicit durations

ladder

Ladder network is a deep learning algorithm that combines supervised and unsupervised learning

hmmlearn

Hidden Markov Models in Python, with scikit-learn like API

ML-NLP

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

skccm

Convergent Cross Mapping in Scikit Learn's style

hexo-theme-matery

A beautiful hexo blog theme with material design and responsive design.一个基于材料设计和响应式设计而成的全面、美观的Hexo主题。国内访问：http://blinkfox.com

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

rrcf

🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams

netron

Visualizer for neural network, deep learning and machine learning models

yolov3

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

ssd.pytorch

A PyTorch Implementation of Single Shot MultiBox Detector

voc2007_for_yolo_torch

:punch: Prepare VOC format datasets for ultralytics/yolov3 & yolov5