An index of algorithms for learning causality with data

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

SyReNN: Symbolic Representations for Neural Networks

A collection of papers of neural-symbolic AI (mainly focus on NLP applications)

Cafe: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation

Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.

Recent Papers including Neural Symbolic Reasoning, Logical Reasoning, Visual Reasoning, planning and any other topics connecting deep learning and reasoning

This repository contains the code for "Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference"

The "Python Machine Learning (3rd edition)" book code repository

Official NetworkX source code repository.

scikit-learn: machine learning in Python

Open Source Neural Machine Translation in PyTorch

links to conference publications in graph-based deep learning

Source code of the AAAI-2020 paper "Topic Modeling on Document Networks with Adjacent-Encoder"

A Comparative Framework for Multimodal Recommender Systems

A tutorial series by Preferred.AI

A repository to curate and summarise research papers related to fashion and e-commerce

A scikit-learn based module for multi-label et. al. classification

A data index for learning causality.

A topic-centric list of HQ open datasets. PR ☛☛☛

multiNetX is a python package for the manipulation and visualization of multilayer networks. It is build on NetworkX

A curated list of awesome self-supervised methods

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

A system for quickly generating training data with weak supervision

Deep learning library featuring a higher-level API for TensorFlow.

A tutorial on scalable retrieval of matrix factorization recommendations

TensorFlow Neural Machine Translation Tutorial

A list of popular github projects related to deep learning