Alternatives and similar repositories for backbone-learn

Users that are interested in backbone-learn are comparing it to the libraries listed below

• Human-Centric-Machine-Learning / counterfactual-llms
  Code for "Counterfactual Token Generation in Large Language Models", Arxiv 2024.
  ☆32Updated last year
• Rose-STL-Lab / AutoSTPP
  Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inf…
  ☆25Updated last year
• rovle / gpt3-in-context-fitting
  Experiments on GPT-3's ability to fit numerical models in-context.
  ☆14Updated 3 years ago
• isgibbs / DtACI
  ☆18Updated 9 months ago
• HazyResearch / embroid
  Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification
  ☆11Updated 2 years ago
• vidalt / OCEAN
  OCEAN: Optimal Counterfactual Explanations in Tree Ensembles (ICML 2021)
  ☆34Updated 2 months ago
• EleutherAI / mdl
  Minimum Description Length probing for neural network representations
  ☆20Updated last year
• facebookresearch / taskmet
  TaskMet Task-driven Metric Learning for Model Learning
  ☆20Updated last year
• EdinburghNLP / torch-adaptive-imle
  ☆35Updated last year
• facebookresearch / SurCo
  Repo for ICML'23 paper SurCo Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems
  ☆20Updated 2 years ago
• srush / tangent
  Source-to-Source Debuggable Derivatives in Pure Python
  ☆15Updated 2 years ago
• epoch-research / training-cost-trends
  ☆20Updated last month
• luohongyin / EntST
  Entailment self-training
  ☆26Updated 2 years ago
• stanfordnlp / multi-distribution-retrieval
  Code for our paper Resources and Evaluations for Multi-Distribution Dense Information Retrieval
  ☆15Updated 2 years ago
• facebookresearch / LANCER
  Repo for the paper "Landscape Surrogate Learning Decision Losses for Mathematical Optimization Under Partial Information"
  ☆38Updated 2 years ago
• ExtensityAI / benchmark
  Evaluation of neuro-symbolic engines
  ☆41Updated last year
• graphcore / distributed-kge-poplar
  The application is a end-user training and evaluation system for standard knowledge graph embedding models. It was developed to optimise …
  ☆18Updated 8 months ago
• C1510 / agd_exp
  Experimental version of jxbz/agd implementing support for bias terms, affine parameters, transformers, etc.
  ☆12Updated 2 years ago
• petuum / tuun
  Hyperparameter tuning via uncertainty modeling
  ☆49Updated last year
• jjbrophy47 / tree_influence
  Influence Estimation for Gradient-Boosted Decision Trees
  ☆29Updated last year
• tijana-zrnic / cross-ppi
  Cross-prediction-powered inference
  ☆15Updated last year
• seharanul17 / synthetic-tabular-LLM
  ☆15Updated last year
• EleutherAI / features-across-time
  Understanding how features learned by neural networks evolve throughout training
  ☆41Updated last year
• csinva / iprompt
  Finding semantically meaningful and accurate prompts.
  ☆48Updated 2 years ago
• microsoft / augmented-interpretable-models
  Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.
  ☆44Updated 2 months ago
• ml-jku / quam
  Quantification of Uncertainty with Adversarial Models
  ☆29Updated 2 years ago
• EleutherAI / rnngineering
  Engineering the state of RNN language models (Mamba, RWKV, etc.)
  ☆32Updated last year
• ssokota / mec
  Code for minimum-entropy coupling.
  ☆32Updated 3 weeks ago
• likenneth / q_probe
  Q-Probe: A Lightweight Approach to Reward Maximization for Language Models
  ☆40Updated last year
• mathcoding / opt4ds
  Optimization Models and Algorithms
  ☆17Updated 8 months ago