Alternatives and similar repositories for schedules-and-scaling

Users that are interested in schedules-and-scaling are comparing it to the libraries listed below

• mlfoundations / scaling
  Language models scale reliably with over-training and on downstream tasks
  ☆99Updated last year
• berlino / seq_icl
  ☆53Updated last year
• RobertCsordas / moeut
  ☆91Updated last year
• srush / mamba-primer
  ☆38Updated last year
• shawntan / stickbreaking-attention
  Stick-breaking attention
  ☆62Updated 7 months ago
• Edward-Sun / gpt-accelera
  Simple and efficient pytorch-native transformer training and inference (batched)
  ☆79Updated last year
• gregorbachmann / Next-Token-Failures
  ☆108Updated last year
• shreyansh26 / Attention-Mask-Patterns
  Using FlexAttention to compute attention with different masking patterns
  ☆47Updated last year
• epfml / llm-baselines
  nanoGPT-like codebase for LLM training
  ☆113Updated 2 months ago
• EleutherAI / nanoGPT-mup
  The simplest, fastest repository for training/finetuning medium-sized GPTs.
  ☆186Updated last week
• sustcsonglin / mamba-triton
  ☆51Updated 2 years ago
• athms / mad-lab
  A MAD laboratory to improve AI architecture designs 🧪
  ☆135Updated last year
• siyan-zhao / prepacking
  The source code of our work "Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models" [AISTATS …
  ☆60Updated last year
• dangxingyu / rnn-icrag
  Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"
  ☆27Updated last year
• sjelassi / transformers_ssm_copy
  ☆35Updated last year
• amirzandieh / HyperAttention
  Triton Implementation of HyperAttention Algorithm
  ☆48Updated 2 years ago
• insuhan / hyper-attn
  ☆83Updated 2 years ago
• hughbzhang / o1_inference_scaling_laws
  Replicating O1 inference-time scaling laws
  ☆91Updated last year
• PiotrNawrot / nano-sparse-attention
  The simplest implementation of recent Sparse Attention patterns for efficient LLM inference.
  ☆92Updated 6 months ago
• mcleish7 / gemstone-scaling-laws
  Gemstones: A Model Suite for Multi-Faceted Scaling Laws (NeurIPS 2025)
  ☆32Updated 4 months ago
• JeanKaddour / NoTrainNoGain
  Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)
  ☆81Updated 2 years ago
• ScalingIntelligence / large_language_monkeys
  ☆112Updated last year
• BlinkDL / LinearAttentionArena
  Here we will test various linear attention designs.
  ☆62Updated last year
• kyo-takano / chinchilla
  A toolkit for scaling law research ⚖
  ☆55Updated last year
• HazyResearch / prefix-linear-attention
  ☆57Updated last year
• mnoukhov / async_rlhf
  Code and Configs for Asynchronous RLHF: Faster and More Efficient RL for Language Models
  ☆68Updated 9 months ago
• yidingjiang / ado
  The repository contains code for Adaptive Data Optimization
  ☆32Updated last year
• TRI-ML / linear_open_lm
  A repository for research on medium sized language models.
  ☆77Updated last year
• katiekang1998 / reasoning_generalization
  ☆33Updated last year
• Leooyii / LCEG
  Long Context Extension and Generalization in LLMs
  ☆62Updated last year