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dalle-pytorch

Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

darknet

Convolutional Neural Networks

darts-pytorch

PyTorch 1.0 supported for CNN exp.

data-store

Design specs and prototypes for the HCA Data Storage System (DSS, "blue box")

data-structure-and-algorithm

Data Structure and Algorithm. 数据结构与算法，学习笔记。

dataanalyticsandml

database_chemoinformatics

datasets

A collection of datasets ready to use with TensorFlow

datasets-1

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

datax

dbsnp

dbSNP

decaf-release

Decaf is DEPRECATED! Please visit http://caffe.berkeleyvision.org/ for Caffe, the new framework that has all the good things: GPU computation, full train/test scripts, native C++, and an active community!

decagon

Graph convolutional neural network for multirelational link prediction

deep-daze

Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network)

deep-forest

An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)

deep-kernel-transfer

Official pytorch implementation of the paper "Deep Kernel Transfer in Gaussian Processes for Few-shot Learning"

deep-learning-containers

AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-molecular-optimization

Molecular optimization by capturing chemist’s intuition using the Seq2Seq with attention and the Transformer

deep-review

A collaboratively written review paper on deep learning, genomics, and precision medicine

deepaai

DeepAAI: A Novel Deep Learning Framework for Predicting Antigen-Antibody Interaction

deepab

Deep learning models and structure realization scripts for the DeepAb antibody structure prediction method.

deepchem

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

deepdist

Distributed Deep Learning on Spark

deepdock

Code related to : O. Mendez-Lucio, M. Ahmad, E.A. del Rio-Chanona, J.K. Wegner, A Geometric Deep Learning Approach to Predict Binding Conformations of Bioactive Molecules

deepdta

deepei

Predicting molecular fingerprint from electron−ionization mass spectrum with deep neural networks

deepembeddingmodel_zsl-pytorch

Pytorch code for CVPR 2017 paper: Learning a Deep Embedding Model for Zero-Shot Learning

deepfashion2

DeepFashion2 Dataset https://arxiv.org/pdf/1901.07973.pdf

deepinteract

A geometric deep learning pipeline for predicting protein interface contacts.