amy12xx

2020-sklearn-sprint

Jun 2020 scikit-learn sprint

amy12xx.github.io

axa_driver_challenge

Solution to AXA Kaggle challenge to determine driver pattern from GPS data

BIG-bench

Beyond the Imitation Game collaborative benchmark for enormous language models

colab_notebooks

Colab notebooks on pytorch tutorials, exercises and algorithm implementation in RL and NLP.

data-science-notebooks

glassdoor_scraper

Web scraper for Glassdoor website

market_basket_analysis

Market Basket Analysis using Apriori algorithm

ml_notes_and_reports

Any and all reports / notes related to AI.

telecom_churn_prediction

Churn Prediction on data provided by Teradata Center for Customer Relationship Management at Duke University

amy12xx/glassdoor_scraper

Web scraper for Glassdoor website

amy12xx/ml_notes_and_reports

Any and all reports / notes related to AI.

amy12xx/telecom_churn_prediction

Churn Prediction on data provided by Teradata Center for Customer Relationship Management at Duke University

amy12xx/market_basket_analysis

Market Basket Analysis using Apriori algorithm

amy12xx/2020-sklearn-sprint

Jun 2020 scikit-learn sprint

amy12xx/amy12xx.github.io

amy12xx/axa_driver_challenge

Solution to AXA Kaggle challenge to determine driver pattern from GPS data

amy12xx/BIG-bench

Beyond the Imitation Game collaborative benchmark for enormous language models

amy12xx/colab_notebooks

Colab notebooks on pytorch tutorials, exercises and algorithm implementation in RL and NLP.

amy12xx/data-science-notebooks

amy12xx/data_mining

amy12xx/dirty_cat

Encoding methods for dirty categorical variables

amy12xx/gym

A toolkit for developing and comparing reinforcement learning algorithms.

amy12xx/gym-minigrid

Minimalistic gridworld package for OpenAI Gym

amy12xx/gym-miniworld

Simple 3D interior simulator for RL & robotics research

amy12xx/imitation

Clean PyTorch implementations of imitation learning algorithms

amy12xx/keras

Theano-based Deep Learning library (convnets, recurrent neural networks, and more).

amy12xx/lets-do-irl

Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)

amy12xx/lm-evaluation-harness

A framework for few-shot evaluation of autoregressive language models.

amy12xx/mlrose

Python package for implementing a number of Machine Learning, Randomized Optimization and SEarch algorithms.

amy12xx/pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

amy12xx/pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

amy12xx/rl-baselines3-zoo

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

amy12xx/rl-starter-files

RL starter files in order to immediatly train, visualize and evaluate an agent without writing any line of code

amy12xx/rl-toolkit

amy12xx/scikit-learn

scikit-learn: machine learning in Python

amy12xx/stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

amy12xx/sympy

A computer algebra system written in pure Python

amy12xx/text_classifier

Text_Classifier using scikit-learn and nltk

amy12xx/util