Alternatives and similar repositories for sherlock:

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

• dmis-lab / Monet
  [ICLR 2025] Monet: Mixture of Monosemantic Experts for Transformers
  ☆56Updated 3 weeks ago
• naver-ai / ALMoST
  ☆23Updated last year
• skywalker023 / fantom
  👻 Code and benchmark for our EMNLP 2023 paper - "FANToM: A Benchmark for Stress-testing Machine Theory of Mind in Interactions"
  ☆52Updated 8 months ago
• krafton-ai / MPC
  The git repository of Modular Prompted Chatbot paper
  ☆32Updated last year
• r-three / RAD
  Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model
  ☆42Updated last year
• kaistAI / How-Well-Do-LLMs-Truly-Ground
  ☆10Updated 5 months ago
• cloneofsimo / fim-llama-deepspeed
  ☆31Updated last year
• snu-mllab / Bayesian-Red-Teaming
  About Official PyTorch implementation of "Query-Efficient Black-Box Red Teaming via Bayesian Optimization" (ACL'23)
  ☆14Updated last year
• krafton-ai / AutoEvalGPT
  ☆20Updated last year
• snu-mllab / Neural-Relation-Graph
  Official PyTorch implementation of "Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data" (NeurIPS'23)
  ☆15Updated last year
• snu-mllab / Context-Memory
  Pytorch implementation for "Compressed Context Memory For Online Language Model Interaction" (ICLR'24)
  ☆53Updated 10 months ago
• lee-ny / teaching_arithmetic
  ☆78Updated last year
• abhishekpanigrahi1996 / transformer_in_transformer
  ☆44Updated last year
• hbin0701 / Self-Explore
  [EMNLP Findings 2024 & ACL 2024 NLRSE Oral] Enhancing Mathematical Reasoning in Language Models with Fine-grained Rewards
  ☆48Updated 9 months ago
• Nix07 / finetuning
  This repository contains the code used for the experiments in the paper "Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity…
  ☆23Updated 11 months ago
• abdulhaim / LMRL-Gym
  ☆79Updated 7 months ago
• joeljang / FLM
  All-in-one repository for Fine-tuning & Pretraining (Large) Language Models
  ☆15Updated last year
• google-deepmind / asyncdiloco
  ☆42Updated last year
• ncsoft / offsetbias
  Official implementation of "OffsetBias: Leveraging Debiased Data for Tuning Evaluators"
  ☆21Updated 5 months ago
• yidingjiang / ado
  The repository contains code for Adaptive Data Optimization
  ☆20Updated 2 months ago
• berlino / seq_icl
  ☆51Updated 9 months ago
• snu-mllab / Achievement-Distillation
  Official PyTorch implementation of "Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning" (NeurIPS 20…
  ☆31Updated 6 months ago
• facebookresearch / MemoryMosaics
  Memory Mosaics are networks of associative memories working in concert to achieve a prediction task.
  ☆39Updated 3 weeks ago
• mlfoundations / scaling
  Language models scale reliably with over-training and on downstream tasks
  ☆96Updated 10 months ago
• kaistAI / factual-knowledge-acquisition
  ☆17Updated 4 months ago
• sjchoi86 / yet-another-gpt-tutorial
  ☆41Updated last year
• cloneofsimo / ezmup
  Simple implementation of muP, based on Spectral Condition for Feature Learning. The implementation is SGD only, dont use it for Adam
  ☆73Updated 6 months ago
• naver-ai / model-stock
  Model Stock: All we need is just a few fine-tuned models
  ☆102Updated 4 months ago