WWakker / mtalg

Related projects ⓘ

Alternatives and complementary repositories for mtalg

• QuantEcon / lecture-jax
  Lectures on Quantitative Economics Using JAX
  ☆28Updated 2 weeks ago
• big-data-lab-umbc / ensemble_causality_learning
  ☆10Updated 4 years ago
• MISHRA19 / Computing-Max-Drawdown-with-Python
  Modelling Maximum Drawdown with Python
  ☆10Updated 4 years ago
• mathcoding / opt4ds
  Optimization Models and Algorithms
  ☆15Updated 4 months ago
• vacquaviva / IntroConformalPredictions
  A short introduction to Conformal Prediction methods, with a few examples for classification and regression from the Astrophysical domain…
  ☆12Updated 4 months ago
• thiery-lab / manifold-mcmc-for-diffusions
  Code accompanying the paper 'Manifold MCMC methods for Bayesian inference in a wide class of diffusion models'
  ☆10Updated last year
• IDA-HumanCapital / fife
  Finite-Interval Forecasting Engine: Machine learning models for discrete-time survival analysis and multivariate time series forecasting
  ☆22Updated 8 months ago
• charwick / helipad
  An agent-based modeling framework for Python with a shallow learning curve and powerful visualization capabilities.
  ☆32Updated 2 months ago
• icme / cme258
  Libraries for Scientific Computing
  ☆10Updated 5 years ago
• Quantco / tabmat
  Efficient matrix representations for working with tabular data
  ☆112Updated this week
• microsoft / dstoolkit-time-series-forecasting
  A flexible, extensible framework for training and evaluating time-series forecasting models.
  ☆5Updated last week
• hamrel-cxu / Ensemble-Regularized-Adaptive-Prediction-Set-ERAPS
  Official repository for the ICML 2022 DFUQ paper: conformal prediction sets for time-series
  ☆10Updated 2 years ago
• alexub / jax-meta-learning
  Simple, extensible implementations of some meta-learning algorithms in Jax
  ☆10Updated 4 years ago
• taposh / forecast
  Forecasting library in python
  ☆13Updated 5 years ago
• rrtucci / JudeasRx
  python app for doing personalized causal medicine using the methods invented by Judea Pearl et al.
  ☆24Updated last year
• StatMixedML / DGBM
  Distributional Gradient Boosting Machines
  ☆26Updated last year
• BouchardLab / pyuoi
  The Union of Intersections Framework in Python
  ☆13Updated last year
• jameslamb / lightgbm-dask-testing
  Test LightGBM's Dask integration on different cluster types
  ☆12Updated 2 months ago
• Stellenbosch-Econometrics / AdvancedTimeSeries-872
  Bayesian methods for time series analysis with code in Julia
  ☆13Updated last year
• SciEcon / SRS2021
  A Data Science pipeline for Algorithmic Trading: A comparative study in applications to Finance and cryptoeconomics
  ☆13Updated 2 years ago
• akash-agni / ReadThePaper
  This repo will be an effort to learn and implement some of the milestone papers and models in Deep Learning based language models.
  ☆11Updated 2 years ago
• pyro-ppl / sandbox
  Pyro models and misc examples.
  ☆19Updated 3 years ago
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆27Updated 4 years ago
• vtopt / qnstop
  Quasi-Newton Algorithm for Stochastic Optimization
  ☆10Updated 2 years ago
• tirthajyoti / Symbolic-computation-Python
  Symbolic computation using SymPy and various applications
  ☆20Updated 6 years ago
• ag-ds-bubble / tseuler
  A library for Time-Series exploration, analysis & modelling.
  ☆17Updated 3 years ago
• edwardjhu / improved_wasserstein
  Code for our ICLR Trustworthy ML 2020 workshop paper "Improved Image Wasserstein Attacks and Defenses"
  ☆13Updated 4 years ago
• lanl / pyBASS
  Bayesian Adaptive Spline Surfaces for flexible and automatic regression
  ☆21Updated 4 months ago