Alternatives and similar repositories for vector-inference

Users that are interested in vector-inference are comparing it to the libraries listed below

• VectorInstitute / vectorlm
  LLM finetuning in resource-constrained environments.
  ☆55Updated last year
• mechanistic-interpretability-grokking / progress-measures-paper
  ☆76Updated 3 years ago
• epfml / llm-baselines
  nanoGPT-like codebase for LLM training
  ☆113Updated 2 months ago
• justinchiu / openlogprobs
  Extract full next-token probabilities via language model APIs
  ☆248Updated last year
• jonhue / activeft
  PyTorch library for Active Fine-Tuning
  ☆96Updated 4 months ago
• anthropics / toy-models-of-superposition
  Notebooks accompanying Anthropic's "Toy Models of Superposition" paper
  ☆135Updated 3 years ago
• athms / mad-lab
  A MAD laboratory to improve AI architecture designs 🧪
  ☆137Updated last year
• google-deepmind / mishax
  ☆152Updated 4 months ago
• hadasah / btm
  ☆77Updated last year
• logix-project / logix
  AI Logging for Interpretability and Explainability🔬
  ☆140Updated last year
• EleutherAI / nanoGPT-mup
  The simplest, fastest repository for training/finetuning medium-sized GPTs.
  ☆186Updated 2 weeks ago
• RulinShao / retrieval-scaling
  Official repository for "Scaling Retrieval-Based Langauge Models with a Trillion-Token Datastore".
  ☆224Updated last month
• ARBORproject / arborproject.github.io
  ☆83Updated 11 months ago
• srush / mamba-primer
  ☆39Updated last year
• pomonam / kronfluence
  Influence Functions with (Eigenvalue-corrected) Kronecker-Factored Approximate Curvature
  ☆177Updated 7 months ago
• epfml / schedules-and-scaling
  Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"
  ☆88Updated last year
• mcleish7 / arithmetic
  Code to reproduce "Transformers Can Do Arithmetic with the Right Embeddings", McLeish et al (NeurIPS 2024)
  ☆198Updated last year
• neelnanda-io / 1L-Sparse-Autoencoder
  ☆132Updated 2 years ago
• HazyResearch / zoology
  Understand and test language model architectures on synthetic tasks.
  ☆252Updated 3 weeks ago
• steering-vectors / steering-vectors
  Steering vectors for transformer language models in Pytorch / Huggingface
  ☆140Updated 11 months ago
• stanfordnlp / axbench
  Stanford NLP Python library for benchmarking the utility of LLM interpretability methods
  ☆163Updated 7 months ago
• EleutherAI / concept-erasure
  Erasing concepts from neural representations with provable guarantees
  ☆243Updated last year
• microsoft / mutransformers
  some common Huggingface transformers in maximal update parametrization (µP)
  ☆87Updated 3 years ago
• princeton-nlp / TransformerPrograms
  [NeurIPS 2023] Learning Transformer Programs
  ☆162Updated last year
• allenai / fm-cheatsheet
  Website for hosting the Open Foundation Models Cheat Sheet.
  ☆269Updated 8 months ago
• Modalities / modalities
  Modalities, a PyTorch-native framework for distributed and reproducible foundation model training.
  ☆93Updated this week
• EleutherAI / delphi
  Delphi was the home of a temple to Phoebus Apollo, which famously had the inscription, 'Know Thyself.' This library lets language models …
  ☆241Updated last week
• MadryLab / trak
  A fast, effective data attribution method for neural networks in PyTorch
  ☆229Updated last year
• llm-merging / LLM-Merging
  LLM-Merging: Building LLMs Efficiently through Merging
  ☆209Updated last year
• srush / do-we-need-attention
  ☆167Updated 2 years ago