chuitingbai Goto Github PK

awesome-deep-rl

For deep RL and the future of AI.

collaborativeperception_paper

A paper list about collaborative perception.

cs236_dgm

🦍 Stanford CS236 : Deep Generative Models

deep-learning-in-phm

Deep learning in PHM，Deep learning in fault diagnosis，Deep learning in remaining useful life prediction

denoisingautoencoder

Python implementation of Stacked Denoising Autoencoders for unsupervised learning of high level feature representation

dl-based-intelligent-diagnosis-benchmark

Source codes for the paper "Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study"

eda_nlp

Data augmentation for NLP, presented at EMNLP 2019

fingpt

Data-Centric FinGPT. Open-source for open finance! Revolutionize 🔥 We'll soon release the trained model.

flow-forecast

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

gan-1d

using WGAN to generate fault bearing vibration signals

gitskills

google-images-download

Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!

image-downloader

Download images from Google, Bing, Baidu. 谷歌、百度、必应图片下载.

learngit

leetcode-go

✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解

marl-papers

Paper list of multi-agent reinforcement learning (MARL)

mechanical-fault-diagnosis-based-on-deep-learning

CNN for mechanical fault diagnosis

ml-ros-multi-label-random-oversampling

unofficial Pytorch implementation of ML-ROS in Addressing imbalance in multi-label classification Measures and random resampling algorithms

mmdetection

OpenMMLab Detection Toolbox and Benchmark

mscred

tensorflow implement the paper A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data

mscred-1

Multi-Scale Convolutional Recurrent Encoder-Decoder

pytorch-cyclegan-and-pix2pix

Image-to-Image Translation in PyTorch

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-generative-model-collections

Collection of generative models in Pytorch version.

renewables_scenario_gen_gan

The implementation of scenario generation for renewables production process

smote

Dealing with imbalanced data-sets: random re-sampling, synthetic oversampling and under-sampling.

tcn

Sequence modeling benchmarks and temporal convolutional networks

th-cpl

清华大学计算机学科推荐学术会议和期刊列表

time-series-forecasting-cnn

Using a convolutional neural net for time series forecasting

tpa-lstm

Temporal Pattern Attention for Multivariate Time Series Forecasting