binbinmeng Goto Github PK

ctpn

Detecting Text in Natural Image with Connectionist Text Proposal Network

cudnn_samples_v7

cudnn_scope

Benchmark cuDNN for different Deep Learning layers.

cvpr2020-code

CVPR 2020 论文开源项目合集

dask-tutorial

Dask tutorial

datastruct_algrithom

datastruct_by_python

datastructures

deep-image-prior

Image restoration with neural networks but without learning.

deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

deep_reinforcement_learning_course

Implementations from the free course Deep Reinforcement Learning with Tensorflow

deepflow

A node based deep neural network library on top of CuDNN

deeplearning

Neural network base on c++14, support any number of layers 基于C++14元编程的深度学习神经网络模板类，支持任意层数

deeplearning-1

deeplearninganimepapers

A list of papers and other resources on deep learning with anime style images.

deeplearningframeworks

Demo of running NNs across different frameworks

deepnlp-models-pytorch

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

deepstream-plugins

Sample plugins for Deepstream for Tesla & Jetson

deeptables

DeepTables: Deep-learning Toolkit for Tabular data

deepx

An expressive shorthand to describe a deep learning architecture

detr

End-to-End Object Detection with Transformers

distiller

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

distributed-research-mxnet

distributed-tf

Distributed TensorFlow Examples for O'Reilly

dl-on-flink

Deep Learning on Flink aims to integrate Flink and deep learning frameworks (e.g. TensorFlow, PyTorch, etc) to enable distributed deep learning training and inference on a Flink cluster.

dlex-cnn

DIY - A deep learning framework

dragon

Dragon: A Computation Graph Virtual Machine Based Deep Learning Framework.

drl

Deep Reinforcement Learning

dynasoar

CUDA Dynamic Memory Allocator for SOA Data Layout

ebook

classic books of computer science!