Repository to store different driving benchmarks that run on the CARLA simulator

RR, SO, IG and SGD with logistic regression loss.

Benchmarking optimization methods on convex problems.

Your new Mentor for Data Science E-Learning.

A complete ML study path, focused on TensorFlow and Scikit-Learn

算法竞赛入门经典第2版-习题选解

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 …

机器学习相关教程

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

Build your neural network easy and fast, 莫烦Python中文教学

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Evolutionary Algorithm using Python, 莫烦Python 中文AI教学

Training Deep Neural Networks for Wireless Resource Management

Code for "Improving Semantic Relevance for Sequence-to-Sequence Learning of Chinese Social Media Text Summarization"

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.…

On Deep Learning-based Channel Decoding

meProp: Sparsified Back Propagation for Accelerated Deep Learning (ICML 2017)

Open RadioML Synthetic Benchmark Dataset