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gpt-2-output-dataset

Dataset of GPT-2 outputs for research in detection, biases, and more

gpt-gnn

Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"

gptq

Code for the paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers"

gptq-for-llama

4 bits quantization of LLaMa using GPTQ

grad-cam-pytorch

PyTorch implementation of Grad-CAM, vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps

gradcam_pytorch

GradCAM Pytorch

gradient-checkpointing

Make huge neural nets fit in memory

grail

Inductive relation prediction by subgraph reasoning, ICML'20

graph-generation

GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models

graph-transformer

Transformer for Graph Classification (TheWebConf WWW 2022) (Pytorch and Tensorflow)

graph_attention_pool

Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)

graph_nets

Build Graph Nets in Tensorflow

graph_transformer_networks

Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)

graphbar

graphcl

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

graphcovidnet

COVID-19 scan image detection using GraphCovidNet (GIN model)

graphcxrnet

graphecgnet

The repository is associated with a paper titled "Fusion of edge detection and graph neural networks for classifying electrocardiogram signals," which was published in the Journal of Expert Systems with Applications.

graphgallery

GraphGallery is a gallery for benchmarking Graph Neural Networks (GNNs).

graphmammonet

Using Graph Neural Networks combined with edge detection techniques to classify BI-RADS scores of Vietnamese mammograms. This repo is implemented to our paper, tilted "Edge detection and graph neural networks to classify mammograms: A case study with a dataset from Vietnamese patients" on ASOC

graphsage-pytorch

A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.

graphwaveletneuralnetwork

A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)

gsdt

Official PyTorch implementation of "Joint Object Detection and Multi-Object Tracking with Graph Neural Networks"

guesswho_modelvalidation

gulpio-benchmarks

Contains scripts producing performance benchmarks for GulpIO using PyTorch

h-denseunet

TMI 2018. H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes

hacking-the-capsule-network

Hands on guide to using PyTorch and implementing Capsule Networks

handson-ml2

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.

handtracking

Building a Real-time Hand-Detector using Neural Networks (SSD) on Tensorflow

harassment-classifier-app

Website that classifies comments for toxicity in real time