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-minimization-of-churn-rate-by-analysis-of-financial-habits

Developed an Machine learning model with Random Forest classifier after feature selection and hyper parameter tuning the model accuracy was 79.83% based on the financial habits of the customers in the Bank Database.

100-times-faster-nlp

🚀100 Times Faster Natural Language Processing in Python - iPython notebook

2017-10-instagram-influencers

Identifying a Large Number of Fake Followers on Instagram

2019-in-demand-ds-tech-skills

Jupyter notebook for scraping and analysis of most in demand job technologies skills for data scientists.

2019-ncov

Efforts towards proposing a potentially highly active molecule against a target protein of the 2019 Novel Coronavirus

21-recipes

📕 An R/rtweet edition of Matthew A. Russell's Python Twitter Recipes Book

3d_pose_estimation

This is the code for "Machine Vision" By Siraj Raval on Youtube

6s083

Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic

7_research_directions_deep_learning

This is the code for "The Future of Deep Learning Research" by Siraj Raval on Youtube

a-meta-transfer-objective-for-learning-to-disentangle-causal-mechanisms

Code for "A Meta Transfer Objective For Learning To Disentangle Causal Mechanisms"

abstract-reasoning-matrices

Progressive matrices dataset, as described in: Measuring abstract reasoning in neural networks (Barrett*, Hill*, Santoro*, Morcos, Lillicrap), ICML2018

abstractive_summarizer

Abstractive Text Summarization using Transformer

ac-nlg

Codes and data for 《De-biased Court’s View Generation with Causality》 EMNLP 2020

accelerators

Data science and AI solution accelerator suite that provides templates for prototyping, reporting, and presenting data science analytics of specific domains

ace

Code for the paper, Neural Network Attributions: A Causal Perspective (ICML 2019).

aciccomp

Code to run submissions for the Atlantic Causal Inference Competition

acme

A library of reinforcement learning components and agents

adagan

AdaGAN: greedy iterative procedure to train mixtures of GANs

adagram.jl

Adaptive Skip-gram implementation in Julia

adv-r

Advanced R programming: a book

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

adversarial-learning-for-generative-conversational-agents

This repository contains a new adversarial training method for Generative Conversational Agents

adversarialgmm

Minimax Estimation of Conditional Moment Models

adversarialnetspapers

The classical papers and codes about generative adversarial nets

agi-concept-map

The AGI Concept Map is my attempt at reconstructing all the internal knowledge I've acquired about artificial general intelligence over the years.

ahp

Analytical Hierarchy Process (AHP) with R

ai-apps-sdk

ai-feynman

ai-learns-to-sail

⛵AI that learns to sail upwind using Q-learning and average reward.

ai-notebooks

Some ipython notebooks implementing AI algorithms