Jesse's repositories
Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
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.
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)
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.
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）
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。
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.