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deep-object-search-with-hash

Search your object with hash

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

deep-residual-unet

ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.

deep-rl-tutorial

A Tutorial on Deep Reinforcement Learning in PyTorch

deep-rlsp

Code accompanying "Learning What To Do by Simulating the Past", ICLR 2021.

deep_gcn_benchmarking

[TPAMI 2022] "Bag of Tricks for Training Deeper Graph Neural Networks A Comprehensive Benchmark Study" by Tianlong Chen*, Kaixiong Zhou*, Keyu Duan, Wenqing Zheng, Peihao Wang, Xia Hu, Zhangyang Wang

deepbrain

Deep Learning tools for brain medical images

deepchem

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

deepdive

DeepDive

deepdive-1

DeepDive

deepdrug

DeepDrug: A general graph-based deep learning framework for drug relation prediction

deepfacelab

DeepFaceLab is the leading software for creating deepfakes.

deeplab-v3

Google DeepLab V3 for Image Semantic Segmentation

deeplearning4j

Eclipse Deeplearning4j, ND4J, DataVec and more - deep learning & linear algebra for Java/Scala with GPUs + Spark

deeplearningfortimeseriesforecasting

A tutorial demonstrating how to implement deep learning models for time series forecasting

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

deeponet

Learning nonlinear operators via DeepONet

deeposm

Train a deep learning net with OpenStreetMap features and satellite imagery.

deepracer-core

A repository binding together everything needed for DeepRacer local.

deepsparse

Neural network inference engine that delivers GPU-class performance for sparsified models on CPUs

deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

deeptime

PyTorch code for DeepTime: Deep Time-Index Meta-Learning for Non-Stationary Time-Series Forecasting

deepworks

A collection of Deep Learning projects and resources

delaunay-triangulation

Delaunay Triangulation and Minimum Spanning Tree

demo-access-control-in-react

demo-redux

Redux Toolkit demo for Time To React 2020

dempsy

Distributed Elastic Message Processing System

dense-vector-ranking-performance

Performance evaluation of nearest neighbor search using Vespa, Elasticsearch and Open Distro for Elasticsearch K-NN

deploy-ml-model-with-webapp