xiemeigongzi Goto Github PK

fair-multiple-decision-making

fairnessrobustnesscontrastingexplanations

fastar-rl-for-generating-ar

focus

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.

gan

python notebooks accompanying the book Make Your Own GAN

gan-for-tabular-data

We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.

generative-causal-explanations

Code for "Generative causal explanations of black-box classifiers"

genome_sequencing_bioinformatics_ii

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, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases.

gnn-recommender-systems

An index of recommendation algorithms that are based on Graph Neural Networks.

gnn_note

图神经网络整理

google-web-scraper

This Python code scrapes Google search results then applies sentiment analysis, generates text summaries, and ranks keywords.

graph-neural-networks.github.io

This repo is for hosting our GNN book titled "Graph Neural Networks: Foundations, Frontiers, and Applications".

graph_nets

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

hands-on-data-analysis-with-pandas-2nd-edition

Materials for following along with Hands-On Data Analysis with Pandas – Second Edition

hands-on-generative-adversarial-networks-with-pytorch-1.x

Hands-On Generative Adversarial Networks with PyTorch 1.x, Published by Packt

handson-ml3

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hpa-competition

Human Protein Atlas image classification competition

hsuantienlin_machinelearning

hyperparameter-tuning-with-python

Hyperparameter Tuning with Python

iai

🎯 保姆级深度学习从入门到放弃 🤪 🤪

inside-deep-learning

Inside Deep Learning: The math, the algorithms, the models

intermediatepython

interpret

Fit interpretable models. Explain blackbox machine learning.

interpretable-ml-book

Book about interpretable machine learning

isl-python

Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

it-ebooks-archive

:books: 计算机开放电子书（不完全）汇总

java-

Java learning record