singhranjodh

Chatbot-Eliza

Release history of Chatbot-Eliza

spaCy

💫 Industrial-strength Natural Language Processing (NLP) in Python

neural-storyteller

A recurrent neural network for generating little stories about images

Dynamic-memory-networks-in-Theano

Implementation of Dynamic memory networks by Kumar et al. http://arxiv.org/abs/1506.07285

bAbI-tasks

Task generation for testing text understanding and reasoning

SparseConvNet-archived

Spatially-sparse convolutional networks. Allows processing of sparse 2, 3 and 4 dimensional data.Build CNNs on the square/cubic/hypercubic or triangular/tetrahedral/hyper-tetrahedral lattices.

kaggle-CrowdFlower

1st Place Solution for CrowdFlower Product Search Results Relevance Competition on Kaggle.

lucida

Speech and Vision Based Intelligent Personal Assistant

snowplow

The enterprise-grade behavioral data engine (web, mobile, server-side, webhooks), running cloud-natively on AWS and GCP

ChatterBot

ChatterBot is a machine learning, conversational dialog engine for creating chat bots

SimpleDS

A Simple Deep Reinforcement Learning Dialogue System

awesome-public-datasets

A topic-centric list of HQ open datasets.

nmn2

Neural module networks

Back-End-Developer-Interview-Questions

A list of back-end related questions you can be inspired from to interview potential candidates, test yourself or completely ignore

awesome-artificial-intelligence

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

Ambrosio-Tortorelli-Minimizer

Python implementation of minimizing the mumford-shah functional for piecewise smooth image approximation.

gym

A toolkit for developing and comparing reinforcement learning algorithms.

taggd

A tool to show and add tags to images

aiva

AIVA (A.I. Virtual Assistant): General-purpose virtual assistant for developers.

pyner

Python interface to the Stanford Named Entity Recognizer

kaggle-heart

Despeckle

Removes grain artifact from images using median filters

kaggle-ndsb2

Code for Second Annual Data Science Bowl. 16th place.

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

awesome-deep-vision

A curated list of deep learning resources for computer vision

deepy

A highly extensible deep learning framework

DeepLearningTutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

detection

Object detection using OpenCV Haar Feature-based Cascade Classifiers

object-detector

Object Detection Framework using HOG as descriptor and Linear SVM as classifier.

spearmint

Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012