TheBlackCoatHunt

TheBlackCoatHunt's Stars

• deel-ai/deel-lip

  Build and train Lipschitz constrained networks: TensorFlow implementation of k-Lipschitz layers

  Language:Python8710

• deel-ai/xplique

  👋 Xplique is a Neural Networks Explainability Toolbox

  Language:Python62850

• deel-ai/puncc

  👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.

  Language:Python28016

• plumprc/MTS-Mixers

  MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing

  Language:Python18825

• valeman/Multi-class-probabilistic-classification

  Multi-class probabilistic classification using inductive and cross Venn–Abers predictors

  Language:Jupyter Notebook439

• rodrigobressan/keras_boston_housing_price

  Keras 101: A simple Neural Network for House Pricing regression

  Language:Jupyter Notebook154

• santoshlite/Empyrial

  An Open Source Portfolio Backtesting Engine for Everyone | 面向所有人的开源投资组合回测引擎

  Language:Python922124

• dcajasn/Riskfolio-Lib

  Portfolio Optimization and Quantitative Strategic Asset Allocation in Python

  Language:C++3k511

• robertmartin8/PyPortfolioOpt

  Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

  Language:Jupyter Notebook4.4k950

• mawicks/mvarch

  Multivariate Volatility Models (ARCH) for stock prices and other time series

  Language:Python154

• Nixtla/statsforecast

  Lightning ⚡️ fast forecasting with statistical and econometric models.

  Language:Python3.9k273

• Craven-Biostat-Lab/anamod

  Feature Importance Analysis of Models

  Language:Python113

• cloudbopper/anamod

  Feature Importance Analysis of Models

  Language:Python54

• vsubbian/WindowSHAP

  A model-agnostic framework for explaining time-series classifiers using Shapley values

  Language:Jupyter Notebook168

• alvaromc317/asgl

  A regression solver for high dimensional penalized linear, quantile and logistic regression models'

  Language:Python7918

• NielsRogge/Transformers-Tutorials

  This repository contains demos I made with the Transformers library by HuggingFace.

  Language:Jupyter Notebook9.2k1.4k

• yaglm/yaglm

  A python package for penalized generalized linear models that supports fitting and model selection for structured, adaptive and non-convex penalties.

  Language:Python5415

• rasbt/mlxtend

  A library of extension and helper modules for Python's data analysis and machine learning libraries.

  Language:Python4.9k859

• Vsooong/multivariate-prediction

  time-series-predictoin(LSTNet,SAB,Transformer...)

  Language:Python13729

• Nixtla/neuralforecast

  Scalable and user friendly neural :brain: forecasting algorithms.

  Language:Python3k342

• mavroudisv/plain-academic

  A truly simple website template for academics

  Language:HTML262199

• academicpages/academicpages.github.io

  Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

  Language:JavaScript12k42.7k

• jagielski/manip-ml

  Code for the IEEE S&P 2018 paper 'Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning'

  Language:Python5122

• Fraunhofer-AISEC/regression-data-poisoning

  Experiments on Data Poisoning Regression Learning

  Language:Python115

• Qwicen/node

  Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data

  Language:Jupyter Notebook47362

• machinelearningnuremberg/WellTunedSimpleNets

  [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets

  Language:Python7614

• sbadirli/GrowNet

  Language:Python19044

• sindhura97/STraTS

  Language:Python6716

• feedzai/timeshap

  TimeSHAP explains Recurrent Neural Network predictions.

  Language:Jupyter Notebook15829

• mlverse/tabnet

  An R implementation of TabNet

  Language:R10913