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PRML algorithms implemented in Python
A small package to create visualizations of PyTorch execution graphs
Deep Learning 101 with PaddlePaddle （『飞桨』深度学习框架入门教程）
Machine learning algorithms implemented by pure numpy
This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.
Tutorial for Sentiment Analysis using Doc2Vec in gensim (or "getting 87% accuracy in sentiment analysis in under 100 lines of code")
This repository contains the projects related to data collecting, assessing,cleaning,visualizations and analyzing
Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".
NYU PSYCH-GA 3405.002 / DS-GS 3001.006 : Computational cognitive modeling
Building a CNN based traffic signs classifier.
capsule networks that achieves outstanding performance on the German traffic sign dataset
DS-GA-1011 Natural Language Processing with Representation Learning
Twitter sentiment analysis part 11: Word2Vec with Convolutional Neural Network
Sentiment Classification in the browser using TensorFlow.js
Use Watson Studio and PyTorch to create a machine learning model to recognize hand-written digits
This is a repository for the tutorial materials in machine learning (COMP4211) in HKUST.
Twitter sentiment analysis part 9: Neural Networks with Tfidf vectors using Keras
State of the art sentiment detection with keras
Traffic sign classifier based on Multi-Scale CNNs
We build a traffic sign classifier with multi-scale Convolutional Networks using Keras
Computer Vision at NYU-Courant (instructor: Rob Fergus) Fall 2017