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Hinton@future's Projects

5gm-data icon 5gm-data

Datasets and code for machine learning in 5G mmWave MIMO systems involving mobility (5GMdata)

accelergy icon accelergy

Accelergy is an energy estimation infrastructure for accelerator energy estimations

admm icon admm

Implemented ADMM for solving convex optimization problems such as Lasso, Ridge regression

algorithm_interview_notes-chinese icon algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

amc icon amc

Code for KDD 2014 paper "Mining Topics in Documents: Standing on the Shoulders of Big Data"

apollo icon apollo

An open autonomous driving platform

aquaflow icon aquaflow

A framework to implement network coding using P4 devices.

article-resources icon article-resources

A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci

autodl icon autodl

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.

awesome-meta-learning icon awesome-meta-learning

A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.

awesome-nas icon awesome-nas

A curated list of neural architecture search (NAS) resources.

awesome-pytorch-list icon awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

baidutraffic icon baidutraffic

This repo includes introduction, code and dataset of our paper Deep Sequence Learning with Auxiliary Information for Traffic Prediction (KDD 2018).

baldr icon baldr

A simple graphical flight simulator for quadcopter UAVs.

bert icon bert

TensorFlow code and pre-trained models for BERT

besselpsd icon besselpsd

Basic illustration of the PSD of Bessel functions of the first kind

book-resource-allocation icon book-resource-allocation

Simulation code for the book “Optimal Resource Allocation in Coordinated Multi-Cell Systems” by Emil Björnson and Eduard Jorswieck, Foundations and Trends in Communications and Information Theory, vol. 9, no. 2-3, pp. 113-381, 2013

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