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deep-learning-papers-reading-roadmap

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

deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

deepreinforcementlearning

A replica of the AlphaZero methodology for deep reinforcement learning in Python

deep_learning_object_detection

A paper list of object detection using deep learning.

deep_speck

Supplementary code and data to "Improving Attacks on Round-Reduced Speck32/64 Using Deep Learning"

densenet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

differential-trails-and-linear-trails-of-speck

dnnweaver2

Open Source Specialized Computing Stack for Accelerating Deep Neural Networks.

fabric

Read-only mirror of https://gerrit.hyperledger.org/r/#/admin/projects/fabric

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gemmini

Berkeley's Systolic Array Generator

gnnpapers

Must-read papers on graph neural networks (GNN)

google-research

Google Research

gpu-differential-search-framework

gr-fdc

GnuRadio Frequency Domain Channelizer Module

halide

a language for fast, portable data-parallel computation

hydra

Hydra is a framework for elegantly configuring complex applications

inceptiontime

InceptionTime: Finding AlexNet for Time Series Classification

kcf

High-Speed Tracking with Kernelized Correlation Filters

learning-to-optimize-arxiv

The repository archives papers regarding the combination of combinatorial optimization and machine learning and corresponding reading notes.

master-thesis-code

Full code for my master's thesis, including experiments, R plots, ...

mbist

MEMORY BUILT-IN SELF TESTING CODE IN VERILOG

meta-learning

meta-learning research

meta-learning-papers

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

mlhub123

机器学习&深度学习网站资源汇总（Machine Learning Resources）

mugo

Replicating AlphaGo's architecture in a readable manner

mxnet-memonger

Sublinear memory optimization for deep learning, reduce GPU memory cost to train deeper nets

neural-networks-on-silicon

This is a collection of works on neural networks and neural accelerators.

neuralguidanceforsat

neuralheuristicsforsat