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2015

DS All Lectures PDFs -HW Public material for CS109

2015lab1

2015lab5

Lab 5, the first on Machine Learning!

2018-cs109b

Harvard CS109b Public Repository

a-2017

Public Repository for cs109a, 2017 edition

adanet

Fast and flexible AutoML with learning guarantees.

appium

:iphone: Automation for iOS, Android, and Windows Apps.

autokeras

An AutoML system based on Keras

awesome-nft

A curated list of awesome Non Fungible Token (NFT, ERC721) frameworks, libraries and software

bert-pytorch

Google AI 2018 BERT pytorch implementation

chatgpt-retrieval-plugin

The ChatGPT Retrieval Plugin lets you easily search and find personal or work documents by asking questions in everyday language.

chicago_pothole_analysis

Contains all data files and code for Chicago pothole analysis

code-server

Run VS Code on a remote server.

content

Welcome to CS109: Data Science -Harvard

coursera

Quiz & Assignment of Coursera

dat3

General Assembly's Data Science course in Washington, DC

dat4

General Assembly's Data Science course in Washington, DC

dat5

General Assembly's Data Science course in Washington, DC

dat7

General Assembly's Data Science course in Washington, DC

dat8

General Assembly's 2015 Data Science course in Washington, DC

dat_sf_13

The Data Science course at General Assembly San Francisco

dat_sf_19

Data Science Course at General Assembly San Francisco

data-science--cheat-sheet

Cheat Sheets

data-science-from-scratch

code for Data Science From Scratch book

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

data.table

R's data.table package extends data.frame:

datacamp

DataCamp data-science courses

deepmimic

Motion imitation with deep reinforcement learning.

detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

evals

Evals is a framework for evaluating OpenAI models and an open-source registry of benchmarks.