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genre-recognition

gensim

Topic Modelling for Humans

gentrl

Generative Tensorial Reinforcement Learning (GENTRL) model

geocv

Python library of geometric algebra functions for computer vision.

geometricalgebra

Mirror of code from http://geometricalgebra.net/code.html

geometry-of-compositionality

geometry-score

geomloss

Geometric loss functions between point clouds, images and volumes

geomstats

Computations and statistics on manifolds with geometric structures.

get3d

get_started_with_deep_learning_for_text_with_allennlp

Getting started with AllenNLP and PyTorch by training a tweet classifier

getaroom

Simple WebRTC audio/video conferencing demo using SkylinkJS and React.

gfpgan

ghedit

A fast, powerful web-based code editor for GitHub repositories

ghiaseddin

Author's implementation of the paper "Deep Relative Attributes" (ACCV 2016)

ghostwriter

ghostwriter is a cross-platform, aesthetic, distraction-free Markdown editor.

gi

Sequitur and RePair grammar induction algorithms implementation

gibsonenv

Gibson Environments: Real-World Perception for Embodied Agents

gimp-ml

Set of Machine Learning Python plugins for GIMP

gin-config

Gin provides a lightweight configuration framework for Python

giraffe

Gracefully Integrated Remote Access For Files and Execution

gitboard

An intuitve Kanban board for your Github issues, built with React.js. https://adewes.github.io/gitboard

gitbook

📝 Modern documentation format and toolchain using Git and Markdown

gitbook-plugin-build

Extends gitbook build system with pandoc converter.

give-me-five

Use Lateral to recommend content that is relevant to the page you're currently seeing in Chrome

gke-jupyter-classroom

Google Container Engine, JupyterHub, and Jupyter for classroom scenarios

glara

GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognition

glip

Grounded Language-Image Pre-training

glom

An implementation of Geoffrey Hinton's paper "How to represent part-whole hierarchies in a neural network" in Pytorch.

glom-pytorch

An attempt at the implementation of Glom, Geoffrey Hinton's new idea that integrates concepts from neural fields, top-down-bottom-up processing, and attention (consensus between columns), for emergent part-whole heirarchies from data