ansh103

Search_Engine_Click_Models

Click models implementation (Examples to be added soon)

aima-exercises

Exercises for the book Artificial Intelligence: A Modern Approach

aima-gsoc

aimacode participation in the Google Summer of Code

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

build-a-space

Automatically add community documentation to your repository

clickmodels

ClickModels is a small set of Python scripts for the user click models initially developed at Yandex. A Click Model is a probabilistic graphical model used to predict search engine click data from past observations. This project is aimed to deal with click models used in Information Retrieval (see next README.md) and intended to be easy-to-read and easy-to-modify. If it's not, please let me know how to improve it :)

load_forecasting_project

Load Forecasting using RNNs

search-MjoLniR

Siemens_Internship

Daily Progress of the R&D Internship maintained week wise.

face_analysis_code

free-programming-books

:books: Freely available programming books

gym

A toolkit for developing and comparing reinforcement learning algorithms.

laymansguide

A Layman's Guide

Memex

Browser Extension to full-text search your browsing history & bookmarks.

Project1

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-examples

Simple examples to introduce PyTorch

shogun

Shōgun

susi_server

Software and Skills for Personal Assistants using SUSI AI / Artificial Intelligence for Chat Bots http://api.susi.ai

wmf-ncm-gsoc

This is repository containing the test results/analysis associated with patch and solutions to various code-cleanup todos(as part of proof of concept of code) given in the same patch. Phabricator thread: https://phabricator.wikimedia.org/T186742

xapian

Mirror of the Xapian repository. You're welcome to open pull requests on github (they'll just get merged indirectly).