train CIFAR10 dataset with PyTorch(0.4.0)

Tokenization is a way of separating a piece of text into smaller units called tokens. Here, tokens can be either words, characters, or subwords. Hence, tokenization can be broadly classified into 3 types – word, character, and subword (n-gram characters) tokenization.

Self-study java neural network library

Some implementation practice of Keras using Tensorflow backend

DeepEasy，一个基于 Numpy 的深度娱乐框架 🚀

A self driving car simulation built using Neural Networks

This is a repository which serve for developing deep learning

Autonomous vehicles offer a promising solution to safer driving through monitoring and utilizing real-time sensing data. Information collected from different sensors, including LiDAR's, ultrasonic sensors, cameras, radars, and GPS, can be processed, and analyzed to operate the vehicle. Computer vision played an essential role in advancing this t…

A Matlab implementation of probablistic machine learning models

Classification experiments of GenMM models

Named Entity Recognition using Bidirectional LSTM CRF (Bi-LSTM-CRF) network.

The project aims to predict the volume of traffic flow between Minneapolis and St. Paul at a specific point in Minnesota. My task is to build a multi-step RNN with LSTM model that makes a single prediction point of the traffic volume 2 hours into the future, given the previous 6-hour window.

Нейросеть для распознавания англоязычных букв

Courses

Simple neural network and automatic differentiation implementation

INFO6205_304 Genetic Algorithm Project

neural nets using keras in the pursuit of education

Identification of Pests using convolution neural networks with keras(tensorflow backend) and Vue.js frontend