Whamp

Whamp's Stars

• GokuMohandas/Made-With-ML

  Learn how to design, develop, deploy and iterate on production-grade ML applications.

  Language:Jupyter Notebook37.9k1.2k736k

• ageron/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.

  Language:Jupyter Notebook28.2k65751212.8k

• terryum/awesome-deep-learning-papers

  The most cited deep learning papers

  Language:TeX25.6k2k264.5k

• quantopian/zipline

  Zipline, a Pythonic Algorithmic Trading Library

  Language:Python17.9k1k9854.8k

• keon/awesome-nlp

  :book: A curated list of resources dedicated to Natural Language Processing (NLP)

  16.9k609552.6k

• microsoft/LightGBM

  A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

  Language:C++16.9k4353.4k3.8k

• flairNLP/flair

  A very simple framework for state-of-the-art Natural Language Processing (NLP)

  Language:Python14k2042.3k2.1k

• EpistasisLab/tpot

  A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

  Language:Python9.8k2899221.6k

• blue-yonder/tsfresh

  Automatic extraction of relevant features from time series:

  Language:Jupyter Notebook8.5k1725321.2k

• numenta/nupic-legacy

  Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.

  Language:Python6.3k6261.8k1.6k

• quantopian/pyfolio

  Portfolio and risk analytics in Python

  Language:Jupyter Notebook5.8k3054171.8k

• uswds/public-sans

  A strong, neutral, principles-driven, open source typeface for text or display

  Language:HTML4.5k51132103

• TDAmeritrade/stumpy

  STUMPY is a powerful and scalable Python library for modern time series analysis

  Language:Python3.7k58515325

• quantopian/alphalens

  Performance analysis of predictive (alpha) stock factors

  Language:Jupyter Notebook3.5k1671911.2k

• explosion/thinc

  🔮 A refreshing functional take on deep learning, compatible with your favorite libraries

  Language:Python2.8k79147277

• Rachnog/Deep-Trading

  Algorithmic trading with deep learning experiments

  Language:OpenEdge ABL1.4k19418695

• pykalman/pykalman

  Kalman Filter, Smoother, and EM Algorithm for Python

  Language:Python1.1k4789361

• larsmans/seqlearn

  Sequence learning toolkit for Python

  Language:Python6914028101

• rapidsai-community/notebooks-contrib

  RAPIDS Community Notebooks

  Language:Jupyter Notebook5223088269

• cemoody/topicsne

  t-SNE experiments in pytorch

  Language:Python47520485

• QuantSoftware/QuantSoftwareToolkit

  QuantSoftwareToolkit

  Language:HTML4678455215

• jupyterlab/jupyterlab-google-drive

  Cloud storage for JupyterLab using Google Drive

  Language:TypeScript400339976

• Seanny123/da-rnn

  Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction

  Language:Python3351522118

• LexPredict/openedgar

  OpenEDGAR (openedgar.io)

  Language:Python29631896

• ducha-aiki/LSUV-pytorch

  Simple implementation of the LSUV initialization in PyTorch

  Language:Python58529

• jrbasso/gistit

  Send content from console/file to GitHub gist

  Language:C54366

• StuartGordonReid/Comp-Finance

  This repository contains Python-based tools for Computational Finance. It is related to the Computational Finance blog run by Stuart Reid (www.stuartreid.co.za/blog).

  Language:Python5413621

• Pak911/fastai-shared-notebooks

  Language:Jupyter Notebook20208

• rajanil/mkboost

  A machine learning approach to identify hosts of families of viruses.

  Language:Python7208

• AnacondaRecipes/xgboost-feedstock

  A conda-smithy repository for xgboost.

  Language:Python1412