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.
  ☆141Updated 2 weeks ago
• HazyResearch / zoology
  Understand and test language model architectures on synthetic tasks.
  ☆219Updated last month
• google-deepmind / mishax
  ☆134Updated 3 months ago
• OSU-NLP-Group / GrokkedTransformer
  Code for NeurIPS'24 paper 'Grokked Transformers are Implicit Reasoners: A Mechanistic Journey to the Edge of Generalization'
  ☆220Updated 7 months ago
• athms / mad-lab
  A MAD laboratory to improve AI architecture designs 🧪
  ☆123Updated 6 months ago
• kanishkg / stream-of-search
  Repository for the paper Stream of Search: Learning to Search in Language
  ☆149Updated 5 months ago
• cloneofsimo / min-max-gpt
  Minimal (400 LOC) implementation Maximum (multi-node, FSDP) GPT training
  ☆129Updated last year
• epfml / llm-baselines
  nanoGPT-like codebase for LLM training
  ☆99Updated last month
• ConsequentAI / fneval
  Functional Benchmarks and the Reasoning Gap
  ☆88Updated 9 months ago
• koayon / awesome-adaptive-computation
  A curated reading list of research in Adaptive Computation, Inference-Time Computation & Mixture of Experts (MoE).
  ☆148Updated 6 months ago
• HazyResearch / based
  Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"
  ☆237Updated last month
• llm-random / llm-random
  ☆191Updated this week
• JacobPfau / fillerTokens
  ☆66Updated last year
• schwartz-lab-NLP / TOVA
  Token Omission Via Attention
  ☆128Updated 8 months ago
• JoshEngels / MultiDimensionalFeatures
  Code for reproducing our paper "Not All Language Model Features Are Linear"
  ☆77Updated 7 months ago
• mlfoundations / scaling
  Language models scale reliably with over-training and on downstream tasks
  ☆97Updated last year
• IBM / ModuleFormer
  ModuleFormer is a MoE-based architecture that includes two different types of experts: stick-breaking attention heads and feedforward exp…
  ☆222Updated last year
• OpenEvaByte / evabyte
  EvaByte: Efficient Byte-level Language Models at Scale
  ☆103Updated 2 months ago
• justinchiu / openlogprobs
  Extract full next-token probabilities via language model APIs
  ☆247Updated last year
• casper-hansen / OpenCoconut
  OpenCoconut implements a latent reasoning paradigm where we generate thoughts before decoding.
  ☆173Updated 5 months ago
• Zyphra / tree_attention
  Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters
  ☆127Updated 7 months ago
• apoorvkh / academic-pretraining
  $100K or 100 Days: Trade-offs when Pre-Training with Academic Resources
  ☆140Updated last month
• normster / llm_rules
  RuLES: a benchmark for evaluating rule-following in language models
  ☆227Updated 4 months ago
• callummcdougall / sae_vis
  Create feature-centric and prompt-centric visualizations for sparse autoencoders (like those from Anthropic's published research).
  ☆203Updated 6 months ago
• EleutherAI / delphi
  Delphi was the home of a temple to Phoebus Apollo, which famously had the inscription, 'Know Thyself.' This library lets language models …
  ☆192Updated this week
• NVIDIA / ngpt
  Normalized Transformer (nGPT)
  ☆184Updated 7 months ago
• GFNOrg / gfn-lm-tuning
  ☆183Updated last year
• SalesforceAIResearch / LaTRO
  ☆117Updated 4 months ago
• goodfire-ai / r1-interpretability
  Open source interpretability artefacts for R1.
  ☆153Updated 2 months ago
• lucidrains / coconut-pytorch
  Implementation of 🥥 Coconut, Chain of Continuous Thought, in Pytorch
  ☆177Updated 3 weeks ago