Alternatives and similar repositories for g-research-challenge:

Users that are interested in g-research-challenge are comparing it to the libraries listed below

• big-data-lab-umbc / ensemble_causality_learning
  ☆10Updated 4 years ago
• google / timecast
  Performant, composable online learning
  ☆15Updated 3 years ago
• Elsemary / Actuarial-Reserve-Risk-Classification-with-Gaussian-Mixture
  Classification of reserve risk with chain-ladder
  ☆11Updated 5 years ago
• gauravdhama / eigengame_deepmind
  A basic implementation of the paper Eigengame : PCA as a Nash Equilibrium
  ☆21Updated 3 years ago
• deepcharles / tutorials-mva-2022
  Tutorials for the Machine Learning for Time Series class - Master MVA (2021/2022)
  ☆10Updated 2 years ago
• HazyResearch / Accelerated-PCA
  Accelerated Stochastic Power Iteration with Momentum
  ☆9Updated 7 years ago
• cvxgrp / cptopt
  Portfolio Optimization with Cumulative Prospect Theory Utility via Convex Optimization
  ☆33Updated 8 months ago
• alan-turing-institute / rPSMF
  Code for Probabilistic Sequential Matrix Factorization
  ☆15Updated 3 years ago
• taposh / forecast
  Forecasting library in python
  ☆13Updated 5 years ago
• anebz / resources
  Curated list of resources for various topics, articles, tutorials, etc I've found useful.
  ☆19Updated 2 years ago
• csinva / disentangled-attribution-curves
  Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"
  ☆27Updated 3 years ago
• karlnapf / ds3_kernel_testing
  Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"
  ☆26Updated 5 years ago
• CaptorAB / openseries
  openseries is a project with tools to analyze financial timeseries of a single asset or a group of assets. It is solely made for daily or…
  ☆27Updated this week
• zahraatashgahi / ALACPD
  Change-point detection using neural networks
  ☆17Updated last year
• aliemamalinezhad / Time-Series-and-Financial
  Time series and Financial analysis in python
  ☆14Updated 5 years ago
• ryanholbrook / critical-transitions
  Detecting critical transitions in financial networks with topological data analysis.
  ☆17Updated 5 years ago
• petuum / tuun
  Hyperparameter tuning via uncertainty modeling
  ☆46Updated 8 months ago
• gerdm / BONE
  Repository for the paper "BONE: a unifying framework for Bayesian online learning in non-stationary environments"
  ☆14Updated last month
• 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
• jianzhnie / AutoTabular
  Automatic machine learning for tabular data. ⚡🔥⚡
  ☆69Updated 3 years ago
• manujosephv / GATE
  ☆18Updated last year
• huaweicloud / c2far_forecasting
  This repository contains code for the paper: S Bergsma, T Zeyl, JR Anaraki, L Guo, C2FAR: Coarse-to-Fine Autoregressive Networks for Prec…
  ☆13Updated last year
• massi82 / multi-armed-bandit
  ☆13Updated last year
• vcerqueira / vest
  Automatic Feature Engineering for Time Series
  ☆17Updated 2 years ago
• QingyunSun / Distributional-Robust-Kelly-Gambling
  ☆18Updated 4 years ago
• jimliu741523 / headjackai-sdk
  ☆17Updated 2 years ago
• cvxgrp / strat_models
  A distributed method for fitting Laplacian regularized stratified models.
  ☆25Updated 3 years ago
• probml / probml-data
  Datasets associated with pyprobml
  ☆19Updated last year
• aormorningstar / GenerativeNeuralNets
  Implementation of restricted Boltzmann machine, deep Boltzmann machine, deep belief network, and deep restricted Boltzmann network models…
  ☆13Updated 4 years ago
• g-benton / Volt
  Public Implementation of Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes
  ☆47Updated 2 years ago