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2014

Official content for the Fall 2014 Harvard CS109 Data Science course

2014_data

Data directory for the CS109 Data Science course

2015

Public material for CS109

2015lab1

2015lab2

2015lab3

2015lab4

Lab for Linear and Logistic Regression, SciKit Learn

2015lab6

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

advio

An Authentic Dataset for Visual-Inertial Odometry

ai-safety-gridworlds

This is a suite of reinforcement learning environments illustrating various safety properties of intelligent agents.

amazon-web-scraper

Amazon Web Scraper to scrape product and seller data from www.amazon.in

app-dl

Deep Learning and applications in Startups, CV, Text Mining, NLP

artificial-intelligence

This repository contains solution codes for the assignments given in the course Artificial Intelligence(CS60045) at IIT Kharagpur

autolay

A novel benchmark dataset for Monocular Layout prediction

awesome-computer-vision

A curated list of awesome computer vision resources

bag-of-words-meets-bags-of-popcorn-kaggle-

Kaggle project for learning NLP

band-limited-mlp

Band Limited Multi Layer Perceptron network on Hyper-spectral images

basicsfm

Simple implementation of Structure from Motion(SFM) in Python

bass-net

Band-Adaptive Spectral-Spatial Feature Learning Deep Neural Network for Hyperspectral Image Classification

bnp_paribas-kaggle-

BNP Paribas Claims Management (Kaggle Competition) Current Rank - 457

book-1

book

bullet-safety-gym

An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.

caffe

Caffe: a fast open framework for deep learning.

cam2bev

TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.

cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

content

Official content for Harvard CS109

convolutional-neural-networks-for-visual-recognition

Using Convolutional Neural Networks for Visual Recoginition ,object recognition and image captioning in particular

coursera-getting-and-cleaning-data

coursera-practical-machine-learning