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2014

Official content for the Fall 2014 Harvard CS109 Data Science course

advranderfullife

algorithmsbook

Preview of the textbook Algorithms for Decision Making

an-introduction-to-applied-bioinformatics

Interactive lessons in bioinformatics.

awesome-deep-vision

A curated list of deep learning resources for computer vision

bios366

Advanced Statistical Computing at Vanderbilt University's Department of Biostatistics

cookbook-code

Recipes of the IPython Cookbook, the definitive guide to high-performance scientific computing and data science in Python

cs231n

Convolutional Neural Networks Assignments

cs231n.github.io

Public facing notes page

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

ipython

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

labs

Scripts for PH525x: Data Analysis for Genomics

lectures

Oxford Deep NLP 2017 course

lectures-labs

Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay

llama.cpp

Port of Facebook's LLaMA model in C/C++

nlppractice

NLP practicals

poor-man-s-machine-learning

setup-ipsec-vpn

Scripts to build your own IPsec VPN server, with IPsec/L2TP and Cisco IPsec on Ubuntu, Debian and CentOS

statsandotherstuff

Blog on statistics and other stuff

tensorflow

Computation using data flow graphs for scalable machine learning

text_mining

This repo contains data from Ted Kwartler's "Text Mining in Practice With R" book.

tf-stanford-tutorials

This repository contains code examples for the course CS 20SI: TensorFlow for Deep Learning Research.

xfl

An Efficient and Easy-to-use Federated Learning Framework.