Alternatives and similar repositories for arithmetic

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

• EleutherAI / nanoGPT-mup
  The simplest, fastest repository for training/finetuning medium-sized GPTs.
  ☆186Updated 2 weeks ago
• HazyResearch / zoology
  Understand and test language model architectures on synthetic tasks.
  ☆252Updated 3 weeks ago
• google-deepmind / mishax
  ☆152Updated 4 months ago
• OSU-NLP-Group / GrokkedTransformer
  Code for NeurIPS'24 paper 'Grokked Transformers are Implicit Reasoners: A Mechanistic Journey to the Edge of Generalization'
  ☆235Updated 6 months ago
• cloneofsimo / min-max-gpt
  Minimal (400 LOC) implementation Maximum (multi-node, FSDP) GPT training
  ☆132Updated last year
• HazyResearch / based
  Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"
  ☆247Updated 8 months ago
• athms / mad-lab
  A MAD laboratory to improve AI architecture designs 🧪
  ☆137Updated last year
• llm-random / llm-random
  ☆207Updated 3 weeks ago
• kanishkg / stream-of-search
  Repository for the paper Stream of Search: Learning to Search in Language
  ☆152Updated last year
• ConsequentAI / fneval
  Functional Benchmarks and the Reasoning Gap
  ☆89Updated last year
• epfml / llm-baselines
  nanoGPT-like codebase for LLM training
  ☆113Updated 3 months ago
• casper-hansen / OpenCoconut
  OpenCoconut implements a latent reasoning paradigm where we generate thoughts before decoding.
  ☆175Updated last year
• justinchiu / openlogprobs
  Extract full next-token probabilities via language model APIs
  ☆248Updated last year
• apoorvkh / academic-pretraining
  $100K or 100 Days: Trade-offs when Pre-Training with Academic Resources
  ☆150Updated 4 months ago
• jonhue / activeft
  PyTorch library for Active Fine-Tuning
  ☆96Updated 4 months ago
• tilde-research / sieve
  Applying SAEs for fine-grained control
  ☆25Updated last year
• koayon / awesome-adaptive-computation
  A curated reading list of research in Adaptive Computation, Inference-Time Computation & Mixture of Experts (MoE).
  ☆160Updated last year
• normster / llm_rules
  RuLES: a benchmark for evaluating rule-following in language models
  ☆248Updated 11 months ago
• goodfire-ai / r1-interpretability
  Open source interpretability artefacts for R1.
  ☆170Updated 9 months ago
• RobertCsordas / moeut
  ☆91Updated last year
• IBM / ModuleFormer
  ModuleFormer is a MoE-based architecture that includes two different types of experts: stick-breaking attention heads and feedforward exp…
  ☆226Updated 4 months ago
• mlfoundations / scaling
  Language models scale reliably with over-training and on downstream tasks
  ☆99Updated last year
• EleutherAI / improved-t5
  Experiments for efforts to train a new and improved t5
  ☆76Updated last year
• JacobPfau / fillerTokens
  ☆74Updated last year
• lucidrains / llama-qrlhf
  Implementation of the Llama architecture with RLHF + Q-learning
  ☆170Updated last year
• wesg52 / universal-neurons
  Universal Neurons in GPT2 Language Models
  ☆30Updated last year
• JoshEngels / MultiDimensionalFeatures
  Code for reproducing our paper "Not All Language Model Features Are Linear"
  ☆83Updated last year
• apple / ml-planner
  ☆56Updated last year
• GFNOrg / gfn-lm-tuning
  ☆185Updated 2 years ago
• hughbzhang / o1_inference_scaling_laws
  Replicating O1 inference-time scaling laws
  ☆92Updated last year