facebookresearch / MemoryMosaics

Related projects ⓘ

Alternatives and complementary repositories for MemoryMosaics

• yidingjiang / ado
  The repository contains code for Adaptive Data Optimization
  ☆18Updated last month
• RobertCsordas / moeut
  ☆62Updated 3 months ago
• dvruette / barrel-rec-pytorch
  ☆53Updated 10 months ago
• epfml / schedules-and-scaling
  ☆53Updated 3 weeks ago
• mlfoundations / scaling
  Language models scale reliably with over-training and on downstream tasks
  ☆94Updated 7 months ago
• ethz-spylab / superhuman-ai-consistency
  ☆28Updated last year
• EleutherAI / nanoGPT-mup
  The simplest, fastest repository for training/finetuning medium-sized GPTs.
  ☆84Updated this week
• berlino / seq_icl
  ☆50Updated 6 months ago
• ahans30 / goldfish-loss
  [NeurIPS 2024] Goldfish Loss: Mitigating Memorization in Generative LLMs
  ☆74Updated this week
• athms / mad-lab
  A MAD laboratory to improve AI architecture designs 🧪
  ☆95Updated 6 months ago
• wesg52 / universal-neurons
  Universal Neurons in GPT2 Language Models
  ☆27Updated 5 months ago
• casmlab / NPHardEval
  Repository for NPHardEval, a quantified-dynamic benchmark of LLMs
  ☆48Updated 7 months ago
• apple / ml-planner
  ☆41Updated 8 months ago
• JoshEngels / MultiDimensionalFeatures
  Code for reproducing our paper "Not All Language Model Features Are Linear"
  ☆61Updated last week
• abhishekpanigrahi1996 / transformer_in_transformer
  ☆44Updated last year
• IBM / ColPret
  Efficient Scaling laws and collaborative pretraining.
  ☆13Updated this week
• minyoungg / LTE
  ☆63Updated 4 months ago
• ScalingIntelligence / large_language_monkeys
  ☆55Updated last month
• EleutherAI / improved-t5
  Experiments for efforts to train a new and improved t5
  ☆76Updated 7 months ago
• Ping-C / optimizer
  This repository includes code to reproduce the tables in "Loss Landscapes are All You Need: Neural Network Generalization Can Be Explaine…
  ☆34Updated last year
• RobertCsordas / moe
  Official repository for the paper "Approximating Two-Layer Feedforward Networks for Efficient Transformers"
  ☆36Updated last year
• shreyansh26 / Attention-Mask-Patterns
  Using FlexAttention to compute attention with different masking patterns
  ☆40Updated 2 months ago
• wang-kee / LiNeS
  ☆22Updated 2 weeks ago
• JeanKaddour / NoTrainNoGain
  Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)
  ☆79Updated last year
• taufeeque9 / codebook-features
  Sparse and discrete interpretability tool for neural networks
  ☆55Updated 9 months ago
• amirzandieh / HyperAttention
  Triton Implementation of HyperAttention Algorithm
  ☆46Updated 11 months ago
• shikaiqiu / compute-better-spent
  ☆46Updated last month
• UKPLab / on-emergence
  Codes and files for the paper Are Emergent Abilities in Large Language Models just In-Context Learning
  ☆34Updated 8 months ago
• r-three / phatgoose
  Code for PHATGOOSE introduced in "Learning to Route Among Specialized Experts for Zero-Shot Generalization"
  ☆78Updated 8 months ago
• cloneofsimo / min-max-gpt
  Minimal (400 LOC) implementation Maximum (multi-node, FSDP) GPT training
  ☆113Updated 7 months ago