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deep_learning_coronavirus_cure

Using deep learning to generate novel molecules as candidates for binding with coronavirus protease

deepway

This project is an aid to the blind. Till date there has been no technological advancement in the way the blind navigate. So I have used deep learning particularly convolutional neural networks so that they can navigate through the streets.

demucs

Code for the paper Hybrid Spectrogram and Waveform Source Separation

denoptim

DENOPTIM is a software package for de novo design and virtual screening of functional molecules of any kind.

densenet.mxnet

:fire:A MXNet implementation of DenseNet (with BC structure):fire:

design-blocks

A set of 170+ Bootstrap based design blocks ready to be used to create clean modern websites.

deskew

Library used to deskew a scanned document

differentiable-plasticity

Implementations of the algorithms described in Differentiable plasticity: training plastic networks with gradient descent, a research paper from Uber AI Labs.

difflinker

DiffLinker: Equivariant 3D-Conditional Diffusion Model for Molecular Linker Design

diffusion-models-papers-survey-taxonomy

Diffusion model papers, survey, and taxonomy

dig

A library for graph deep learning research

distribution_diagrams

R-script for generating canonical diagrams of distributions to be used to describe Bayesian hierarchical models.

diversitynet

A molecule generation benchmarking platform

djtransgan-dg-pipeline

"Automatic DJ Transitions with Differentiable Audio Effects and Generative Adversarial Networks", ICASSP 2022 (Data Generation Pipeline)

dlia

dlrm

An implementation of a deep learning recommendation model (DLRM)

doccano

Open source annotation tool for machine learning practitioners.

docker-superset

Repository for Docker Image of Apache-Superset. [Docker Image: https://hub.docker.com/r/abhioncbr/docker-superset]

doclaynet

DocLayNet: A Large Human-Annotated Dataset for Document-Layout Analysis

domoticz-zigbee2mqtt-plugin

zigbee2mqtt plugin for domoticz

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

dragonn

A toolkit to learn how to model and interpret regulatory sequence data using deep learning.

drfp

An NLP-inspired chemical reaction fingerprint based on basic set arithmetic.

drqa

Reading Wikipedia to Answer Open-Domain Questions

dscribe

DScribe is a python package for creating machine learning descriptors for atomistic systems.

dvc

⚡️ML models version control, make them shareable and reproducible

electron-react-boilerplate

A Foundation for Scalable Cross-Platform Apps

emnlp2017-bilstm-cnn-crf

equibind

EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein

evdodgenet

EVDodgeNet: Deep Dynamic Obstacle Dodging with event cameras