Alternatives and similar repositories for kubejobs

Users that are interested in kubejobs are comparing it to the libraries listed below

• p-lambda / incontext-learning
  Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implici…
  ☆108Updated last year
• shauli-ravfogel / rlace-icml
  ☆36Updated 3 years ago
• google-deepmind / emergent_in_context_learning
  ☆85Updated last year
• ethancaballero / broken_neural_scaling_laws
  Code Release for "Broken Neural Scaling Laws" (BNSL) paper
  ☆59Updated last year
• GSYfate / knnlm-limits
  Official code repo for paper "Great Memory, Shallow Reasoning: Limits of kNN-LMs"
  ☆24Updated 5 months ago
• princeton-nlp / LM-Kernel-FT
  A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643
  ☆78Updated 2 years ago
• jkallini / mission-impossible-language-models
  Code repository for the paper "Mission: Impossible Language Models."
  ☆54Updated last month
• nathanhu0 / CaMeLS
  Codebase for Context-aware Meta-learned Loss Scaling (CaMeLS). https://arxiv.org/abs/2305.15076.
  ☆25Updated last year
• hadasah / btm
  ☆76Updated last year
• guy-dar / embedding-space
  ☆55Updated 2 years ago
• mlepori1 / NeuroSurgeon
  NeuroSurgeon is a package that enables researchers to uncover and manipulate subnetworks within models in Huggingface Transformers
  ☆41Updated 8 months ago
• McGill-NLP / length-generalization
  Code for the paper "The Impact of Positional Encoding on Length Generalization in Transformers", NeurIPS 2023
  ☆136Updated last year
• mega002 / ff-layers
  The accompanying code for "Transformer Feed-Forward Layers Are Key-Value Memories". Mor Geva, Roei Schuster, Jonathan Berant, and Omer Le…
  ☆97Updated 4 years ago
• KihoPark / linear_rep_geometry
  ☆107Updated 8 months ago
• ZurichNLP / mbr
  Minimum Bayes Risk Decoding for Hugging Face Transformers
  ☆60Updated last year
• srush / LLM-Talk
  ☆52Updated last year
• berlino / seq_icl
  ☆53Updated last year
• Modalities / modalities
  Modalities, a PyTorch-native framework for distributed and reproducible foundation model training.
  ☆90Updated this week
• openreview / openreview-expertise
  Expertise modeling for the OpenReview matching system
  ☆40Updated last week
• mansheej / icl-task-diversity
  Code for the paper "Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression"
  ☆23Updated 2 years ago
• qkaren / COLD_decoding
  ☆112Updated 3 years ago
• aryamanarora / causalgym
  CausalGym: Benchmarking causal interpretability methods on linguistic tasks
  ☆48Updated 10 months ago
• krandiash / quinine
  A library to create and manage configuration files, especially for machine learning projects.
  ☆80Updated 3 years ago
• fdalvi / NeuroX
  A Python library that encapsulates various methods for neuron interpretation and analysis in Deep NLP models.
  ☆106Updated 2 years ago
• babylm / evaluation-pipeline-2023
  Evaluation pipeline for the BabyLM Challenge 2023.
  ☆76Updated 2 years ago
• naver / disco
  A Toolkit for Distributional Control of Generative Models
  ☆74Updated 2 months ago
• google-research / jax-influence
  ☆62Updated 3 years ago
• mechanistic-interpretability-grokking / progress-measures-paper
  ☆69Updated 3 years ago
• RobertCsordas / modules
  The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We…
  ☆46Updated 2 years ago
• kernelmachine / demix-data
  Benchmark API for Multidomain Language Modeling
  ☆25Updated 3 years ago