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bassndao-research-fork's Projects

best-of-ml-python icon best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

cs234-2020 icon cs234-2020

Stanford CS234: Reinforcement Learning Winter 2020

gt-nlp-class icon gt-nlp-class

Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"

handson-ml2 icon handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

k9 icon k9

Self-Taught Data Science

move.hmm icon move.hmm

Flexible, user-friendly Hidden (Semi) Markov Models for animal movement data (Langrock et al. 2012). This package was developed in part for van de Kirk (2013; http://onlinelibrary.wiley.com/doi/10.1111/1365-2656.12290/full). Since I wrote this package, Theo Michelot, Roland Langrock and others have written a better package for fitting HMMs to animal movement data, named moveHMM (sorry for the confusion!). To my knowlege, though, this package is the only one that fits hidden semi-Markov models.

msm icon msm

The msm R package for continuous-time multi-state modelling of panel data

nlp-progress icon nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

notebooks icon notebooks

Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.

notes icon notes

Resources to learn more about Machine Learning and Artificial Intelligence

papernote icon papernote

paper note, including personal comments, introduction, code etc

papers icon papers

Curated repository of notes from papers I'm reading, mostly NLP related. Updated regularly.

papers-copy icon papers-copy

My Quant Research Papers (incl. Coding & Excel Examples)

pytorch-vae icon pytorch-vae

A Collection of Variational Autoencoders (VAE) in PyTorch.

reinforcement-learning icon reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

snowball icon snowball

Implementation with some extensions of the paper "Snowball: Extracting Relations from Large Plain-Text Collections" (Agichtein and Gravano, 2000)

tmap icon tmap

R package for thematic maps

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