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deepbayes-2018

Seminars DeepBayes Summer School 2018

deepmask

Torch implementation of DeepMask and SharpMask

direct-future-prediction-keras

Direct Future Prediction (DFP ) in Keras

directfutureprediction

Code for the paper "Learning to Act by Predicting the Future", Alexey Dosovitskiy and Vladlen Koltun, ICLR 2017

dl-imperial-maths

Code and assignment repository for the Imperial College Mathematics department Deep Learning course

doom-net-pytorch

Reinforcement learning models in ViZDoom environment

dotfiles

A collection of my personal dotfiles

epic-kitchens-55-starter-kit-action-recognition

:seedling: Starter kit for working with the EPIC-KITCHENS-55 dataset for action recognition or anticipation

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

experiments-optimizers

This notebook is prepared for the summer school'19 (ML Lab)

fcscrapr

R package to scrape soccer commentary and statistics from ESPN

fiftyone

The open-source tool for building high-quality datasets and computer vision models

folder-structure-conventions

Folder / directory structure options and naming conventions for software projects

football

forces

PyTorch implementation of "What happens if..." Learning to Predict the Effect of Forces in Images, ECCV'16

forces-1

gap_sram

generative-models

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

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

grid-search

Using Grid Search to improve Machine Learning models

group-activity-recognition

CVPR 2019 Paper - Learning Actor Relation Graphs for Group Activity Recognition

gzsl-od

Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition

hardrlwithyoutube

TensorFlow implementation of "Playing hard exploration games by watching YouTube"

haystack

:mag: Haystack is an open source NLP framework that leverages Transformer models. It enables developers to implement production-ready neural search, question answering, semantic document search and summarization for a wide range of applications.

higcin

Pytorch implementation of the TPAMI paper of "HiGCIN: Hierarchical Graph-based Cross Inference Network for Group Activity Recognition"

hrnet-semantic-segmentation

High-resolution representation learning (HRNets) for Semantic Segmentation

image-captioning

Using a CNN-LSTM hybrid network to generate captions for images

intro-to-deep-learning

This repo contains ipython notebooks to give preliminary introduction to freshers.

ir17

learning-to-communicate-pytorch

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch