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deep_learning_coronavirus_cure

Using deep learning to generate novel molecules as candidates for binding with coronavirus protease

deep_reinforcement_learning_course

Notebooks from the free course Deep Reinforcement Learning with Tensorflow

dimensionalityreducton

Usage Of Various Dimensionality Reduction Techniques in Python

dl4nlp

Various NLP use cases and problems solved using LSTM, GRUs in Keras

dynamicprogramming

ecbs

ensemble evolutionary chemical binding similarity

ecommerce_model_selection

Compare and contrast different classification models for an ecommerce dataset

electrack

A comprehensive electricity management ecosystem.

explainx

Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code.

explainx_counterfactuals

A visual counterfactual explanation of predictions by machine learning models. Work adapted from https://arxiv.org/abs/2003.02428.

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fastai

The fast.ai deep learning library, lessons, and tutorials

fasttsne

Fast, parallel implementations of tSNE

fifa2018predictions

Prediction for FIFA world cup 2018 challenge

flatlandersgemstore

Shaping up with angularJs flatlanders store using tomcat server

google-images-download

Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

helloworld

Basic React JS App

humpback-whale-identification-1st-

https://www.kaggle.com/c/humpback-whale-identification

inltk

Natural Language Toolkit for Indic Languages

internationalwomensday

Repository to add the code for women impact

interpretable-deep-model-mta

This is the project that developed for marketing attribution. It is an interpretable deep learning model for marketing problem.

interview

Interview questions

keras-resnet

Residual networks implementation using Keras-1.0 functional API

learn_machine_learning_in_3_months

This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube

linearalgebraimplementation

Linear ALgebra demos in python and octave.

linearregression

This repository contains LinearRegression modelling across different datasets

logisticregression

LogisticRegression models along with Model Metrics, Optimal cut Off and cross validation

lstm_chem

Implementation of the paper - Generative Recurrent Networks for De Novo Drug Design.

machine-learning-for-software-engineers

A complete daily plan for studying to become a machine learning engineer.