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dsa-practice

Python use cases of data structures and algorithms

dvsrl_annotations

Annotation scripts for DVSRL dataset

esb-connectors

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

gae-pytorch

Graph Auto-Encoder in PyTorch

gae_in_pytorch

Graph Auto-Encoder in PyTorch

gated-graph-neural-network-samples

Sample Code for Gated Graph Neural Networks

gcc

GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training

gnn-comparison

Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020

graph-transformer

Transformer for Graph Classification (in Pytorch and Tensorflow)

graphcl

[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen

graphlog

Implementation of Self-supervised Graph-level Representation Learning with Local and Global Structure (ICML 2021).

ice

ICE: Item Concept Embedding

image-captioning-with-semantic-attention

imsitu

Support, annotation, evaluation, and baseline models for the imSitu dataset.

infersent

Sentence embeddings (InferSent) and training code for NLI.

infograph

Code for ICLR paper "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization"

integration-bus

Repo for Integration Bus

iqan

Visaul Question Generation as Dual Task of Visual Question Answering (PyTorch Version)

jina

Cloud-native neural search framework for 𝙖𝙣𝙮 kind of data

lore

Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers

mac-network

Implementation for the paper "Compositional Attention Networks for Machine Reasoning" (Hudson and Manning, ICLR 2018)

mac-network-pytorch

Memory, Attention and Composition (MAC) Network for CLEVR implemented in PyTorch

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

models

Models and examples built with TensorFlow

multi-level-vae

This repository contains a pytorch implementation for the paper: Multi-Level Variational Autoencoder (https://arxiv.org/abs/1705.08841), which was accepted at AAAI-18.

mvgrl

my_imsitu

neuraltalk2

Efficient Image Captioning code in Torch, runs on GPU

ogb

Benchmark datasets, data loaders, and evaluators for graph machine learning