Open solution to the Home Credit Default Risk challenge
created at May 18, 2018, 9:36 p.m.
the best machine learning tutorials on the web
created at April 28, 2011, 1:01 a.m.
Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)
created at March 27, 2020, 5:53 p.m.
CogComp's Natural Language Processing Libraries and Demos: Modules include lemmatizer, ner, pos, prep-srl, quantifier, question type, relation-extraction, similarity, temporal normalizer, tokenizer, transliteration, verb-sense, and more.
created at Oct. 18, 2015, 4:11 a.m.
Tabular Deep Learning Library for PyTorch
created at Aug. 11, 2023, 4:41 a.m.
Metaprogramming tools for DataFrames
created at Feb. 5, 2014, 12:16 a.m.
PyNLPl, pronounced as 'pineapple', is a Python library for Natural Language Processing. It contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for basic tasks such as the extraction of n-grams and frequency lists, and to build simple language model. There are also more complex data types and algorithms. Moreover, there are parsers for file formats common in NLP (e.g. FoLiA/Giza/Moses/ARPA/Timbl/CQL). There are also clients to interface with various NLP specific servers. PyNLPl most notably features a very extensive library for working with FoLiA XML (Format for Linguistic Annotation).
created at July 6, 2010, 11:42 a.m.
Winning solution for the Galaxy Challenge on Kaggle (http://www.kaggle.com/c/galaxy-zoo-the-galaxy-challenge)
created at April 15, 2014, 10:14 a.m.
Reinforcement learning using Markov Decision Processes. For JS, written in C++.
created at May 10, 2015, 4:52 p.m.
Python package for Bayesian Machine Learning with scikit-learn API
created at July 30, 2015, 3:15 a.m.
Aqueduct is no longer being maintained. Aqueduct allows you to run LLM and ML workloads on any cloud infrastructure.
created at May 27, 2022, 3:07 a.m.