o7s8r6 Goto Github PK

gail-tf

Tensorflow implementation of generative adversarial imitation learning

gan-compression

[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs

gandissect

Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/

ganhacks

starter from "How to Train a GAN?" at NIPS2016

gaussian_yolov3

Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving (ICCV, 2019)

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gcn-pytorch

Graph Convolution Network for PyTorch

gcnep

gdlnotes

Google Deep Learning Notes（TensorFlow教程）

gds19

Geographic Data Science'19

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

gigaspeech

Large, modern dataset for speech recognition

github-slideshow

A robot powered training repository :robot:

gitsairepo

data science related materials

gluon-nlp

NLP made easy

gnn-model-explainer

gnn explainer

gnnpapers

Must-read papers on graph neural networks (GNN)

go

The Open Source Data Science Masters

google-colab-guide

This is a beginner Guide to Google Colab that is featured on the Algotrading101 blog

gp-structure-search

gpflowopt

Bayesian Optimization using GPflow

gpss-research

Kernel structure discovery research code - likely to be unstable

gpt-3

GPT-3: Language Models are Few-Shot Learners

gpyopt

Gaussian Process Optimization using GPy

graph-algorithms-notebooks

Jupyter notebooks showing how to use Neo4j Graph Algorithms

graph-based-nn

Graph Convolutional Networks (GCNs)

graph_ml

Projects that involve graph datasets

graph_nets

Build Graph Nets in Tensorflow

graphwaveletneuralnetwork

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

great-deep-learning-tutorials

A Great Collection of Deep Learning Tutorials and Repositories