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awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

cpp-primer

C++ Primer 5ed answers

cs-xmind-note

计算机专业课（408）思维导图和笔记：计算机组成原理（第五版 王爱英），数据结构（王道），计算机网络（第七版 谢希仁），操作系统（第四版 汤小丹）

deep-learning-for-hackers

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

docs

TensorFlow documentation

fucking-algorithm

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

getting-things-done-with-pytorch

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

gluon-ts

Probabilistic time series modeling in Python

go_by_examples

自学，侵权删

kernel-principal-component-analysis-kpca

KPCA for dimensionality reduction, feature extraction , fault detection, and fault diagnosis

learning_tensorflow

深度学习基础知识学习并使用tensorflow2.0实现相关代码（Learn the basic knowledge in depth and use tensorflow 2.0 to implement relevant codes）

lstm_fault_detection

memae-anomaly-detection

MemAE for anomaly detection. -- Gong, Dong, et al. "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection". ICCV 2019.

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。

mtad

MTAD: Tools and Benchmark for Multivariate Time Series Anomaly Detection

python-100-days

Python - 100天从新手到大师

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

robustautoencoder

A combination of Autoencoder and Robust PCA

tensorflow

An Open Source Machine Learning Framework for Everyone

tensorflow-2.x-tutorials

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

transdim

Machine learning for transportation data imputation and prediction.

tutorials

PyTorch tutorials.