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mnist-handwritten

Mnist Handwritten: is a deep learning model that classify the digits between 0 to 9, trained on mnist data-set for hand written digits. This notebook contains all steps of training on google Colab and it also contains installation of Pytorch on the cloud.

models

Models and examples built with TensorFlow

models-of-deep-learning

A collection of various deep learning architectures, models, and tips for TensorFlow and PyTorch in Jupyter Notebooks.

movie-recommendation-project

music-generation-with-dl

Resources on Music Generation with Deep Learning

musicmood

A machine learning approach to classify songs by mood.

natural-language-processing

State-of-the-art NLP principles and methods for toxic comment classification

natural-language-processing-1

Resources for "Natural Language Processing" Coursera course.

natural-language-processing-2

The Natural Language Toolkit, or more commonly NLTK, is a suite of libraries and programs for symbolic and statistical natural language processing for English written in the Python programming language

netflix-style-recommender

A simple movie recommendation engine

nlp-architect

NLP Architect by Intel AI Lab: A Python library for exploring the state-of-the-art deep learning topologies and techniques for natural language processing and natural language understanding

nlp-with-python

Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more

nn4nlp-code

Code Samples from Neural Networks for NLP

notebooks

object-detection-using-hsv-colorspace

Detecting objects using real time web cam using their colors properties

object_detector_app

Real-Time Object Recognition App with Tensorflow and OpenCV

opencv

OpenCV 3 with Python 3 2018

opensilex

Opensilex is an information system for scientific research data management

overview-and-benchmark-of-traditional-and-deep-learning-models-in-text-classification

NLP tutorial

pan_card_ocr_project

To extract details from Indian National Identification Cards such as PAN (completed) & Aadhar, Passport, Driving License (WIP) in a structured format

pandas-datareader

Extract data from a wide range of Internet sources into a pandas DataFrame.

papers-we-love

Papers from the computer science community to read and discuss.

parallel_ml_tutorial

Tutorial on scikit-learn and IPython for parallel machine learning

pattern_classification

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

patterns-classification

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

php-elasticsearch

elasticsearch search engine with php

predict-fuel-efficiency-regression-

In a regression problem, we aim to predict the output of a continuous value, like a price or a probability. Contrast this with a classification problem, where we aim to select a class from a list of classes (for example, where a picture contains an apple or an orange, recognizing which fruit is in the picture). This notebook uses the classic Auto MPG Dataset and builds a model to predict the fuel efficiency of late-1970s and early 1980s automobiles. To do this, we'll provide the model with a description of many automobiles from that time period. This description includes attributes like: cylinders, displacement, horsepower, and weight.

pwa-tutorial

Course files for the progressive web app tutorial series on The Net Ninja YouTube channel.

pytext

A natural language modeling framework based on PyTorch

python

All Algorithms implemented in Python