mcleish7 / arithmetic

Related projects ⓘ

Alternatives and complementary repositories for arithmetic

• EleutherAI / nanoGPT-mup
  The simplest, fastest repository for training/finetuning medium-sized GPTs.
  ☆84Updated last week
• HazyResearch / zoology
  Understand and test language model architectures on synthetic tasks.
  ☆162Updated 6 months ago
• athms / mad-lab
  A MAD laboratory to improve AI architecture designs 🧪
  ☆95Updated 6 months ago
• apoorvkh / academic-pretraining
  $100K or 100 Days: Trade-offs when Pre-Training with Academic Resources
  ☆95Updated 2 weeks ago
• callummcdougall / sae_vis
  Create feature-centric and prompt-centric visualizations for sparse autoencoders (like those from Anthropic's published research).
  ☆157Updated last month
• cloneofsimo / min-max-gpt
  Minimal (400 LOC) implementation Maximum (multi-node, FSDP) GPT training
  ☆113Updated 7 months ago
• EleutherAI / sae-auto-interp
  ☆107Updated this week
• KellerJordan / Muon
  Muon optimizer for neural networks: >30% extra sample efficiency, <3% wallclock overhead
  ☆109Updated last week
• google-deepmind / mishax
  ☆101Updated 3 months ago
• Zyphra / tree_attention
  Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters
  ☆104Updated last month
• mlfoundations / scaling
  Language models scale reliably with over-training and on downstream tasks
  ☆94Updated 7 months ago
• jxmorris12 / cde
  code for training & evaluating Contextual Document Embedding models
  ☆117Updated this week
• HazyResearch / based
  Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"
  ☆214Updated 3 months ago
• JoshEngels / MultiDimensionalFeatures
  Code for reproducing our paper "Not All Language Model Features Are Linear"
  ☆61Updated last week
• normster / llm_rules
  RuLES: a benchmark for evaluating rule-following in language models
  ☆211Updated last month
• llm-random / llm-random
  ☆175Updated this week
• dvruette / barrel-rec-pytorch
  ☆53Updated 10 months ago
• justinchiu / openlogprobs
  Extract full next-token probabilities via language model APIs
  ☆229Updated 8 months ago
• OSU-NLP-Group / GrokkedTransformer
  Code for NeurIPS'24 paper 'Grokked Transformers are Implicit Reasoners: A Mechanistic Journey to the Edge of Generalization'
  ☆161Updated last month
• lucidrains / llama-qrlhf
  Implementation of the Llama architecture with RLHF + Q-learning
  ☆157Updated 10 months ago
• jxbz / modula
  Scalable neural net training via automatic normalization in the modular norm.
  ☆121Updated 3 months ago
• NVIDIA / ngpt
  Normalized Transformer (nGPT)
  ☆66Updated this week
• cloneofsimo / scaling-guide
  WIP
  ☆89Updated 3 months ago
• saprmarks / feature-circuits
  ☆105Updated last month
• srush / do-we-need-attention
  ☆161Updated last year
• da03 / Internalize_CoT_Step_by_Step
  ☆102Updated last month
• lucidrains / CALM-pytorch
  Implementation of CALM from the paper "LLM Augmented LLMs: Expanding Capabilities through Composition", out of Google Deepmind
  ☆169Updated 2 months ago
• kernelmachine / cbtm
  Code repository for the c-BTM paper
  ☆105Updated last year
• EleutherAI / concept-erasure
  Erasing concepts from neural representations with provable guarantees
  ☆209Updated last week
• EleutherAI / improved-t5
  Experiments for efforts to train a new and improved t5
  ☆76Updated 7 months ago