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30-days-of-ml-kaggle

Machine learning beginner to Kaggle competitor in 30 days. Non-coders welcome. The program starts Monday, August 2, and lasts four weeks. It's designed for people who want to learn machine learning.

absa-pytorch

Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析，使用PyTorch实现。

albert

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

attention-based-aspect-extraction

Code for unsupervised aspect extraction, using Keras and its Backends

awesome-conformal-prediction

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD theses, articles and open-source libraries.

bert

TensorFlow code and pre-trained models for BERT

cs224n-squad-project

data-analysis

Data Science Using Python

deeppavlov

An open source library for deep learning end-to-end dialog systems and chatbots.

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

econml

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

equity-portfolio-prediction

gingerit

Python wrapper for correcting spelling and grammar mistakes based on the context of complete sentences. Proof of conecpt

grokking-deep-learning

this repository accompanies my forthcoming book "Grokking Deep Learning"

induszing

Config files for my GitHub profile.

keras

Deep Learning for humans

lifelines

Survival analysis in Python

lightfm

A Python implementation of LightFM, a hybrid recommendation algorithm.

lightweight_mmm

LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.

markov-chain

R based marketing attribution and basic budget optimization using Markov Chains

medium

A collection of Medium posts

medium-louvain-clustering

Code and data to accompany the BBC's Medium article on Louvain clustering

medium_notebook

Repository containing notebooks of my posts on Medium

mydatascienceportfolio

Applying Data Science and Machine Learning to Solve Real World Business Problems

nmt

TensorFlow Neural Machine Translation Tutorial

recommender-system

Exploring different kinds of movie recommender systems

recommender_keras

Basic recommendation system for Movilens dataset using Keras

recommenders

Best Practices on Recommendation Systems

recsys_course_at_polimi

This is the official repository for the Recommender Systems course at Politecnico di Milano.

snake-rl

Multi process and multi GPU snake training. Using A2C with a CNN.