Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

A curated list of practical financial machine learning tools and applications.

Deep Dive into Apache Spark 深入研读Spark源码

Notes and Code for Class 13

Comprehensive list of scholarships for the Grace Hopper Conference

Comprehensive list of company events at GHC, GHC-recruitment career pages, and GHC-related events

Beamer presentation and poster template for New York University / NYU Abu Dhabi / NYU Shanghai

Deep Learning 101 with PaddlePaddle （『飞桨』深度学习框架入门教程）

Evaluation code for the final project in DS-GA 1008: Deep Learning 2019

some source code for some online judge

Just for play with multi-scale cnn

Traffic sign classifier based on Multi-Scale CNNs

We build a traffic sign classifier with multi-scale Convolutional Networks using Keras

Topics course Mathematics of Deep Learning, NYU, Spring 18

Code for the paper "Large-Scale Study of Curiosity-Driven Learning"

A toolkit for developing and comparing reinforcement learning algorithms.

Universe: a software platform for measuring and training an AI's general intelligence across the world's supply of games, websites and other applications.

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

Collaborative lecture notes for Spring '19 NYU DL class

Implementations of various VAE-based semi-supervised and generative models in PyTorch

A state-of-the-art semi-supervised method for image recognition

100+ Chinese Word Vectors 上百种预训练中文词向量

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.

This repository contains the projects related to data collecting, assessing,cleaning,visualizations and analyzing

该repo的issue为这个博客的数据源：

Train and Deploy Machine Learning Models on Kubernetes using Amazon EKS

This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.