Alternatives and similar repositories for stochastic-gradient-trees:

Users that are interested in stochastic-gradient-trees are comparing it to the libraries listed below

• mfederici / dsit
  Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"
  ☆25Updated 3 years ago
• jjbrophy47 / dare_rf
  Machine Unlearning for Random Forests
  ☆19Updated 10 months ago
• houshd / TS_Adv
  Codebase for the paper "Adversarial Attacks on Time Series"
  ☆19Updated 6 years ago
• remilepriol / causal-adaptation-speed
  Investigate the speed of adaptation of structural causal models
  ☆16Updated 4 years ago
• csinva / disentangled-attribution-curves
  Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"
  ☆27Updated 4 years ago
• andruekonst / egbm-gam
  A straightforward implementation of EGBM-based Generalized Additive Model
  ☆13Updated 4 years ago
• cmuxstream / cmuxstream-core
  Static (Python) and streaming (C++) implementations of xStream (KDD 2018).
  ☆30Updated 6 years ago
• csinva / mdl-complexity
  MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".
  ☆18Updated last year
• max-andr / provably-robust-boosting
  Provably Robust Boosted Decision Stumps and Trees against Adversarial Attacks [NeurIPS 2019]
  ☆50Updated 5 years ago
• zackchase / label_shift
  A simple algorithm to identify and correct for label shift.
  ☆21Updated 7 years ago
• fairkmeans / Fair-K-Means-Clustering
  Code of the paper Fair k-Means Clustering
  ☆13Updated 3 years ago
• ucr-optml / AutoBalance
  ☆15Updated 3 years ago
• yk / icml19_public
  ☆21Updated 4 years ago
• flaviovdf / label-shift
  ☆31Updated 3 years ago
• AnonAuthorAI / duplebalance
  DuBE: Duple-balanced Ensemble Learning from Skewed Data
  ☆9Updated 2 years ago
• dtak / ocbnn-public
  General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.
  ☆38Updated 2 years ago
• kakaobrain / irm-empirical-study
  An Empirical Study of Invariant Risk Minimization
  ☆27Updated 4 years ago
• xiaozhanguva / Cost-Sensitive-Robustness
  A general method for training cost-sensitive robust classifier
  ☆22Updated 5 years ago
• aangelopoulos / private_prediction_sets
  Wrap around any model to output differentially private prediction sets with finite sample validity on any dataset.
  ☆17Updated last year
• dh7401 / T-Cal
  ☆10Updated 3 years ago
• imtiazziko / Variational-Fair-Clustering
  Variational Fair clustering
  ☆11Updated 10 months ago
• moorecsys / moorecsys.github.io
  Tutorial on Multi-Objective Recommender Systems @ KDD 2021
  ☆19Updated 2 years ago
• jmikko / fair_ERM
  Fair Empirical Risk Minimization (FERM)
  ☆37Updated 4 years ago
• tginart / deletion-efficient-kmeans
  Research prototype of deletion efficient k-means algorithms
  ☆23Updated 5 years ago
• amiratag / DistributionalShapley
  Distributional Shapley: A Distributional Framework for Data Valuation
  ☆30Updated 11 months ago
• mrojascarulla / causal_transfer_learning
  ☆32Updated 6 years ago
• j-cb / Breaking_Down_OOD_Detection
  ☆11Updated 2 months ago
• Gordon-Guojun-Zhang / Transferability-NeurIPS2021
  This repo includes our code for evaluating and improving transferability in domain generalization (NeurIPS 2021)
  ☆12Updated 2 years ago
• pankajk / Deep-Graph-Kernels
  Deep Graph Kernels
  ☆13Updated 9 years ago
• GuillaumeStaermanML / FIF
  Source code for the ACML 2019 paper "Functional Isolation Forest".
  ☆21Updated 2 years ago