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pengchen233's Projects
adjustautocorrelation
Adjusting for Autocorrelated Errors in Neural Networks for Time Series
admm
examples/code for the alternating direction method of multipliers (ADMM)
ae_ts
Auto encoder for time series
ai-edu
AI education materials for Chinese students, teachers and IT professionals.
ailearning
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
algorithm-visualizer
:fireworks:Interactive Online Platform that Visualizes Algorithms from Code
attention
some attention implements
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.
clocof
clocof: collection of copula functions
cnn_finetune
Fine-tune CNN in Keras
convlstm_pytorch
Implementation of Convolutional LSTM in PyTorch.
cqr
Conformalized Quantile Regression
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。
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.
dimensionality_reduction_alo_codes
特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现
download
🔴蓝灯最新版本下载 https://github.com/getlantern/download 🔴 Lantern Latest Download https://github.com/getlantern/lantern/releases/tag/latest 🔴
eemd-lstm-model
基于深度学习的溶解氧时间序列预测模型
ensamble_learning
Ensemble Learning Types And Algorithms .
ewtpy
Empirical Wavelet Transform Python implementation
fe-camp-2018
fe-camp-2018
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.
gbdt
gdbt implement by scikit-learn
gbdt_simple_tutorial
python实现GBDT的回归、二分类以及多分类，将算法流程详情进行展示解读并可视化，庖丁解牛地理解GBDT。Gradient Boosting Decision Trees regression, dichotomy and multi-classification are realized based on python, and the details of algorithm flow are displayed, interpreted and visualized to help readers better understand Gradient Boosting Decision Trees
gru
Minimal GRU implementation.
hands-on-transfer-learning-with-python
Deep learning simplified by transferring prior learning using the Python deep learning ecosystem
hyperdl-tutorial
深度学习教程整理 | 干货
imbalanced-learn
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
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