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ml-lab's Projects

dirichlet-process

Introduction to Nonparametric Bayes, Infinite Mixture Models, and the Dirichlet Process (+ McDonald's)

disccaptioning

Code for Discriminability objective for training descriptive captions(CVPR 2018)

discgen

Code for the "Discriminative Regularization for Generative Models" paper.

discogan

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

discogan-pytorch

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

disentanglement-pytorch

Disentanglement library for PyTorch

disentanglement_lib

disentanglement_lib is an open-source library for research on learning disentangled representations.

disentangling-factors-of-variation-by-mixing-them

Disentangling Factors of Variation by Mixing Them codes

disentangling_conditional_gans

Disentangling Multiple Conditional Inputs in GANs

disprcnn

Code release for Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation (CVPR 2020)

dissecting-person-re-id-from-the-viewpoint-of-viewpoint

Project page of "Dissecting-Person-Re-identification-from-the-Viewpoint-of-Viewpoint, cvpr2019"

dist-a3c

Distributed A3C

dist-dqn

Multi-GPU reinforcement learning using Deep Q-Network in TensorFlow for OpenAI Gym

distancegan

Pytorch implementation of "One-Sided Unsupervised Domain Mapping"

distillation_privileged_information

ICLR 2016 paper.

distiller

Neural Network Distiller: a Python package for neural network compression research.

distiller-1

A large scale study of Knowledge Distillation. NYU Computer Vision Project

distractor-generation-race

Generating Distractors for Reading Comprehension Questions from Real Examinations https://arxiv.org/abs/1809.02768

distributed-tensorflow-example

An example of data parallelism and async updates of parameter in tensorflow.

distributed-tensorflow-guide

Distributed TensorFlow basics and examples of training algorithms

distributional-dqn

Implementation of 'A Distributional Perspective on Reinforcement Learning' based on OpenAi baselines

dividemix

Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning

diy-thermocam

The DIY-Thermocam is a do-it-yourself infrared camera, based on the FLIR Lepton long-wave infrared sensor and the popular Teensy 3.6.

dl-docker

An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)

dl-imperial-maths

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

dl-machine

Scripts to setup a GPU / CUDA-enabled compute server with libraries for deep learning

dl-rnn

Recurrent Deep Learning Tutorials and examples: RNN, GRU, LSTM

dl-seq2seq

Implementation of papers on Deep Seq2seq learning using Pytorch.

dl-uncertainty

"What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).

dl-visualization

This is the source code for the series "Visualizing Deep Learning"

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