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gnn-benchmark

Framework for evaluating Graph Neural Network models on semi-supervised node classification task

gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

graph-cnn.pytorch

Pytorch Implementation for Graph Convolutional Neural Networks

graph-reading-group

Weekly reading group on Graphs at Mila

graph-representation-learning

Autoencoders for Link Prediction and Semi-Supervised Node Classification

graph_convnets_pytorch

PyTorch implementation of graph ConvNets, NIPS’16

gui-youget

GUI for you-get and youtube-dl

gym

A toolkit for developing and comparing reinforcement learning algorithms.

gym-extensions

This repo is intended as an extension for OpenAI Gym for auxiliary tasks (multitask learning, transfer learning, inverse reinforcement learning, etc.)

hashing-baseline-for-image-retrieval

:octocat:Various hashing methods for image retrieval and serves as the baselines

hawkes-process-toolkit

A toolbox of Hawkes processes

how_optimization_works

ifi-summer-school

Slides and notebooks for the IfI Summer School 2018 on Machine Learning

image-completion-using-gans

This is our code for our project on Image Completion using Deep Convolutional Generative Adversarial Networks (DCGANs)

image-retrieval

imbalance-xgboost

XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions

iml-talk

Talk about interpretable machine learning

industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries accross different industries.

infogan

Code for reproducing key results in the paper "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"

intelligentmachine

天池工业AI大赛-智能制造质量预测，排名89/2539

interleavedgroupconvolutions

interpretable-ml-book

Book about interpretable machine learning

interpretable-research

I collected some papers about interpretable CNN and reorganized them here.

interpretablecnn

intro-to-dl

Resources for "Introduction to Deep Learning" course.

introduction-to-python-for-computational-science-and-engineering

Book: Introduction to Python for Computational Science and Engineering

jdd_loan_forecasting

京东借贷需求预测

jointembedding

Joint Embeddings of Shapes and Images via CNN Image Purification

jule-torch

Project for our CVPR2016 paper "Joint Unsupervised Learning of Deep Representations and Image Clusters"

jupyter-themes

Custom Jupyter Notebook Themes