pengchen233's repositories
AiLearning
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
ConvLSTM_pytorch
Implementation of Convolutional LSTM in PyTorch.
data-augmentation-review
List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.
AdjustAutocorrelation
Adjusting for Autocorrelated Errors in Neural Networks for Time Series
awesome-data-augmentation
This is a list of awesome methods about data augmentation.
awesome-deep-learning-papers
The most cited deep learning papers
Awesome-of-Time-Series-Augmentation
A curated list of time series augmentation resources.
bird-species-classification
Using convolutional neural networks to build and train a bird species classifier on bird song data with corresponding species labels.
d2l-zh
《动手学深度学习》:面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。
ENSAMBLE_LEARNING
Ensemble Learning Types And Algorithms .
fucking-algorithm
手把手撕LeetCode题目,扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.
imbalanced-learn
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
keras-attention-mechanism
Attention mechanism Implementation for Keras.
LeetCodeAnimation
Demonstrate all the questions on LeetCode in the form of animation.(用动画的形式呈现解LeetCode题目的思路)
ml-visuals
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
mlcourse.ai
Open Machine Learning Course
Orion
A machine learning library for detecting anomalies in signals.
PHMGNNBenchmark
this code library is mainly about applying graph neural networks to intelligent diagnostic and prognostic.
PyContrast
PyTorch implementation of Contrastive Learning methods; List of awesome-contrastive-learning papers
PyEMD
Python implementation of Empirical Mode Decompoisition (EMD) method
pyEntropy
Entropy for Python
pytorch-handbook
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
PyTorch-Tutorial
Build your neural network easy and fast
pytorch-tutorial-1
PyTorch Tutorial for Deep Learning Researchers
reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
Rotating-machine-fault-data-set
Open rotating mechanical fault datasets (开源旋转机械故障数据集整理)
SAM
Self-attentive Associative Memory & SAM-based Two-Memory Model
time_series_augmentation
An example of time series augmentation methods with Keras
transferlearning
Everything about Transfer Learning and Domain Adaptation--迁移学习
transformer-time-series-prediction
proof of concept for a transformer-based time series prediction model