Alternatives and similar repositories for auto-gb

Users that are interested in auto-gb are comparing it to the libraries listed below

• yubin-park / palobst
  PaloBoost is an overfitting-robust Gradient Boosting algorithm.
  ☆15Updated 5 years ago
• gerdm / BONE
  Repository for the paper "BONE: a unifying framework for Bayesian online learning in non-stationary environments"
  ☆18Updated 2 weeks ago
• g-benton / Volt
  Public Implementation of Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes
  ☆49Updated 2 years ago
• NoRaincheck / TreeGrad
  ☆21Updated 5 years ago
• GallagherCommaJack / modulax
  ☆17Updated 10 months ago
• palmbook / cartpole
  OpenAI's cartpole env solver.
  ☆18Updated 6 years ago
• datasig-ac-uk / esig
  esig python package
  ☆48Updated 7 months ago
• blackrock / lcso
  Linearly Constrained Separable Optimization
  ☆48Updated last year
• sash-a / es_pytorch
  High performance implementation of Deep neuroevolution in pytorch using mpi4py. Intended for use on HPC clusters
  ☆27Updated 3 years ago
• alvarobartt / safejax
  Serialize JAX, Flax, Haiku, or Objax model params with 🤗`safetensors`
  ☆45Updated last year
• google / jax-recommenders
  ☆10Updated 2 years ago
• KangOxford / jax-lob
  JAX-LOB: A GPU-Accelerated limit order book simulator to unlock large scale reinforcement learning for trading
  ☆26Updated last year
• probml / bandits
  Bayesian Bandits
  ☆68Updated last year
• random-matrix-learning / slides
  LaTeX source code for the slides
  ☆23Updated 4 years ago
• quantopian / bayesalpha
  Bayesian models to compute performance and uncertainty of returns and alpha.
  ☆110Updated 2 years ago
• salesforce / online_conformal
  Methods for online conformal prediction.
  ☆114Updated 2 months ago
• cgarciae / treeo
  A small library for creating and manipulating custom JAX Pytree classes
  ☆56Updated 2 years ago
• IDSIA / neuraldiffeq-fwp
  Official repository for the paper "Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules" (…
  ☆23Updated last month
• probml / probml-utils
  Utilities for probabilistic ML
  ☆36Updated last year
• cair / PyTsetlinMachineCUDA
  Massively Parallel and Asynchronous Architecture for Logic-based AI
  ☆42Updated 2 years ago
• probml / sts-jax
  Structural Time Series in JAX
  ☆195Updated last year
• kayuksel / generative-opt
  Democratizing Index Tracking for Small Investors in Europe: A Meta-Learning Method for Sparse Portfolio Optimization
  ☆82Updated 2 years ago
• saitcakmak / BoRisk
  Bayesian Optimization of Risk Measures
  ☆21Updated last year
• sergio-hcsoft / FractalAI
  Cellular automaton-based calculus for the masses
  ☆24Updated 7 years ago
• facebookresearch / recur
  symbolic regression
  ☆39Updated 3 years ago
• Z-T-WANG / LaProp-Optimizer
  Codes accompanying the paper "LaProp: a Better Way to Combine Momentum with Adaptive Gradient"
  ☆29Updated 4 years ago
• crunchiness / lernd
  Lernd is ∂ILP (dILP) framework implementation based on Deepmind's paper Learning Explanatory Rules from Noisy Data.
  ☆24Updated 2 years ago
• cair / tmu
  Implements the Tsetlin Machine, Coalesced Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetli…
  ☆147Updated 2 months ago
• cvxgrp / lrsm_portfolio
  Portfolio Construction using Stratified Models
  ☆11Updated 4 years ago
• cambridge-mlg / jolt
  ☆12Updated 5 months ago