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direct-future-prediction-keras

Direct Future Prediction (DFP ) in Keras

directed

Embedding of directed graphs

directeddiffusion

DirectedDiffusion

directfutureprediction

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

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"

discopy

a toolbox for computing with monoidal categories

discord_bot

discosense

Commonsense Reasoning with DIscourse Markers

discourse

A platform for community discussion. Free, open, simple.

discrete-msa

disentangle

disentangled_vae

Replicating "Early Visual Concept Learning with Unsupervised Deep Learning"

disentanglement_lib

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

disentanglementicml19

"Learning Discrete and Continuous Factors of Data via Alternating Disentanglement" accepted at ICML2019

displacy-ent

:boom: displaCy-ent.js: An open-source named entity visualiser for the modern web

dispute-resolution-layer

Generic dispute resolution layer for Truebit verification games

disruptorflow

Sequential sync/async task processor based on LMax Disruptor - extremely fast!

dissect

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

dist-keras

Distributed deep learning with Keras and Apache Spark.

distancegan

Pytorch implementation of "One-Sided Unsupervised Domain Mapping" NIPS 2017

distbelief

Implementing Google's DistBelief paper

distilabel

⚗️ AI Feedback framework for scalable LLM alignment

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller

distml

DistML provide a supplement to mllib to support model-parallel on Spark

distributed-deep-q

Project for CME 323: Distributed Algorithms and Optimization

distributed-graph-analytics

Distributed Graph Analytics (DGA) is a compendium of graph analytics written for Bulk-Synchronous-Parallel (BSP) processing frameworks such as Giraph and GraphX. The analytics included are High Betweenness Set Extraction, Weakly Connected Components, Page Rank, Leaf Compression, and Louvain Modularity.

distributed_es

Selected experiments with distributed Evolutionary Strategies

distributedlog

A high performance replicated log service.

distributional_perspective_on_rl

Implementation of A Distributional Perspective on Reinforcement Learning