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adabound

An optimizer that trains as fast as Adam and as good as SGD.

anamod

Feature Importance Analysis of Models

asgl

A regression solver for linear and quantile regression models and lasso based penalizations'

awesome-conformal-prediction

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

brits-tensorflow

TensorFlow implementation of BRITS model for multivariate time series imputation with bidirectional recurrent neural networks.

carla

CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms

deel-lip

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

deep-tcn-tensorflow

TensorFlow implementation of DeepTCN model for probabilistic time series forecasting with temporal convolutional networks.

empyrial

Portfolio Management Framework for risk and performance analysis 投资组合管理

encdec-ad-tensorflow

TensorFlow implementation of EncDec-AD model for multivariate time series anomaly detection with LSTM-based encoder-decoder.

grownet

keras_boston_housing_price

Keras 101: A simple Neural Network for House Pricing regression

lstm-fcn-pytorch

PyTorch implementation of LSTM-FCN model for univariate time series classification.

lstnet-tensorflow

TensorFlow implementation of LSTNet model for multivariate time series forecasting.

manip-ml

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

mlxtend

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

mts-mixers

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

multi-class-probabilistic-classification

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

multivariate-prediction

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

nam

Neural Additive Models (Google Research)

nbeats-tensorflow

TensorFlow implementation of N-BEATS model for univariate time series forecasting.

neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms.

node

Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data

omnixai

OmniXAI: A Library for eXplainable AI

plain-academic

A truly simple website template for academics

probcast-tensorflow

TensorFlow implementation of ProbCast model for probabilistic time series forecasting with generative adversarial networks.

puncc

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

pyportfolioopt

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

pypots

A python toolbox/library for data mining on partially-observed time series, supporting tasks of forecasting/imputation/classification/clustering on incomplete multivariate time series with missing values.

regression-data-poisoning

Experiments on Data Poisoning Regression Learning