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discogan

Official implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

discogan-tensorflow

An implementation of DiscoGAN in tensorflow

disn

(latest updates and bug fixed) DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction

dissect

Code for the Proceedings of the National Academy of Sciences 2020 article, "Understanding the Role of Individual Units in a Deep Neural Network"

dissecting-reinforcement-learning

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

distributeddeeplearningreads

django

The Web framework for perfectionists with deadlines.

dl-course

DL Course Materials

dl-imperial-maths

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

dl-text

Text pre-processing modules for deep learning (Keras, tensorflow).

dl4marco-bert

dl4mt-nonauto

dl_study_sources

Online sources for deep learning study

dlib

A toolkit for making real world machine learning and data analysis applications in C++

dlrm

An implementation of a deep learning recommendation model (DLRM)

dltk

Deep Learning Toolkit for Medical Image Analysis

dm_control

The DeepMind Control Suite and Control Package

dmm_net

Differentiable Mask-Matching Network for Video Object Segmentation (ICCV 2019)

dmtn

dnn_tensorflow_cpp

This project is a simple deep neural network trained using only TensorFlow C++.

dockerface

A deep learning replacement for dlib and OpenCV face detection. The first docker solution for deploying Faster R-CNN face detection on videos and images.

docs

TensorFlow documentation

donkey

self driving car

door-slam

doping

Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN

dota2-predictor

Tool that predicts the outcome of a Dota 2 game using Machine Learning

douyin

API of DouYin for Humans used to Crawl Popular Videos and Musics

dowhy

DoWhy is a Python library that makes it easy to estimate causal effects. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

dpgn

This repository is the official implementation of DPGN: Distribution Propagation Graph Network for Few-shot Learning.

dqn-tensorflow

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning