neronjust2017 Goto Github PK

cnnshapes

Visualizing intermediate activation in Convolutional Neural Networks with Keras

coder2gwy

互联网首份程序员考公指南，由3位已经进入体制内的前大厂程序员联合献上。

concare

cosimcost

cs236_neural_processes_for_image_completion

dann_ecg

dapp-learning

Dapp learning project for developers at all stages. Becoming and cultivating sovereign individuals. Nonprofit organization.

dataset_synthesizer

NVIDIA Deep learning Dataset Synthesizer (NDDS)

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deep-learning-for-time-series-classification

A summary of deep learning models in TSC

deep-learning-uncertainty

Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.

deep-svdd-pytorch

A PyTorch implementation of the Deep SVDD anomaly detection method

deep-uncertainty

deepbayes-2019

Practical assignments of the Deep|Bayes summer school 2019

deeplearning

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deterministic-uncertainty-quantification

Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"

difftaichi

10 differentiable physical simulators built with Taichi differentiable programming (DiffTaichi, ICLR 2020)

distributed-pytorch

Distributed, mixed-precision training with PyTorch

distribution-is-all-you-need

The basic distribution probability Tutorial for Deep Learning Researchers

distro

Unofficial maintenance repository of Torch7. It supports CUDA10.1, Volta, Turing, Docker https://hub.docker.com/r/nagadomi/torch7

diva

Implementation of 'DIVA: Domain Invariant Variational Autoencoders'

dl-4-tsc

Deep Learning for Time Series Classification

dl-tsc

docker

Docker学习笔记

domain-generalization

All about domain generalization

domainbed

dropoutuncertaintycaffemodels

Dropout As A Bayesian Approximation: Code

dropoutuncertaintyexps

Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"

eattheblocks

Source code for Eat The Blocks, a screencast for Ethereum Dapp Developers