COMS W4995 Applied Machine Learning - Spring 20

Code for Siraj Raval's Coding Challenges!

Leverage the flexibility of Jupyterlab through the power of your NVIDIA GPU to run your code from Tensorflow and Pytorch in collaborative notebooks on the GPU.

复杂网络研究资源整理和基础知识学习

Productivity Tools for Plotly + Pandas

Experiments, algorithms and reports in machine learning reseach.

努力成为一名合格有水平的AI算法工程师

書籍「つくりながら学ぶ！深層強化学習」のサポートリポジトリです

中文文本错别字检测以及自动纠错 / Autochecker & autocorrecter for chinese

an numpy-based implement of PointRend

Deep learning infrastructure for bioinformatics

Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras

A very lightweight Python wrapper to the Philips Hue API

Material for the tutorial: "Deep Diving into GANs: from theory to production"

Tensorflow's Fairness Evaluation and Visualization Toolkit

Python is a multi-paradigm programming language. Meaning, it supports different programming approach. One of the popular approach to solve a programming problem is by creating objects. This is known as Object-Oriented Programming (OOP).

Machine Learning Tutorials in Python

Código Python, Jupyter Notebooks, archivos csv con ejemplos para los ejercicios del Blog aprendemachinelearning.com y del libro Aprende Machine Learning en Español

Protein Graph Library

DS4C: Data Science for COVID-19 in South Korea