Alternatives and similar repositories for academic-pretraining

Users that are interested in academic-pretraining are comparing it to the libraries listed below

• RobertCsordas / moeut
  ☆91Updated last year
• mcleish7 / arithmetic
  Code to reproduce "Transformers Can Do Arithmetic with the Right Embeddings", McLeish et al (NeurIPS 2024)
  ☆198Updated last year
• cloneofsimo / min-max-gpt
  Minimal (400 LOC) implementation Maximum (multi-node, FSDP) GPT training
  ☆132Updated last year
• KindXiaoming / grow-crystals
  Getting crystal-like representations with harmonic loss
  ☆195Updated 9 months ago
• google-deepmind / mishax
  ☆151Updated 4 months ago
• evanatyourservice / kron_torch
  An implementation of PSGD Kron second-order optimizer for PyTorch
  ☆98Updated 5 months ago
• EleutherAI / nanoGPT-mup
  The simplest, fastest repository for training/finetuning medium-sized GPTs.
  ☆185Updated 6 months ago
• JoeLi12345 / nGPT
  an open source reproduction of NVIDIA's nGPT (Normalized Transformer with Representation Learning on the Hypersphere)
  ☆109Updated 10 months ago
• idiap / sigma-gpt
  σ-GPT: A New Approach to Autoregressive Models
  ☆70Updated last year
• martin-marek / batch-size
  📄Small Batch Size Training for Language Models
  ☆79Updated 3 months ago
• casper-hansen / OpenCoconut
  OpenCoconut implements a latent reasoning paradigm where we generate thoughts before decoding.
  ☆175Updated last year
• epfml / DenseFormer
  ☆82Updated last year
• joey00072 / ohara
  Collection of autoregressive model implementation
  ☆85Updated last week
• OpenEvaByte / evabyte
  EvaByte: Efficient Byte-level Language Models at Scale
  ☆114Updated 8 months ago
• facebookresearch / llm-speedrunner
  The Automated LLM Speedrunning Benchmark measures how well LLM agents can reproduce previous innovations and discover new ones in languag…
  ☆126Updated 3 months ago
• Aleph-Alpha-Research / scaling
  Scaling is a distributed training library and installable dependency designed to scale up neural networks, with a dedicated module for tr…
  ☆66Updated 2 months ago
• lucidrains / grokfast-pytorch
  Explorations into the proposal from the paper "Grokfast, Accelerated Grokking by Amplifying Slow Gradients"
  ☆103Updated last year
• ChenWu98 / algorithmic-creativity
  [ICML 2025] Roll the dice & look before you leap: Going beyond the creative limits of next-token prediction
  ☆82Updated 7 months ago
• cloneofsimo / scaling-guide
  WIP
  ☆93Updated last year
• LucasPrietoAl / grokking-at-the-edge-of-numerical-stability
  ☆109Updated 5 months ago
• zaydzuhri / softpick-attention
  Landing repository for the paper "Softpick: No Attention Sink, No Massive Activations with Rectified Softmax"
  ☆86Updated 4 months ago
• ahstat / episodic-memory-benchmark
  Synthetic data generation and benchmark implementation for "Episodic Memories Generation and Evaluation Benchmark for Large Language Mode…
  ☆63Updated 3 months ago
• lucidrains / PEER-pytorch
  Pytorch implementation of the PEER block from the paper, Mixture of A Million Experts, by Xu Owen He at Deepmind
  ☆132Updated 2 months ago
• VsonicV / es-fine-tuning-paper
  This repo contains the source code for the paper "Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning"
  ☆285Updated last month
• cloneofsimo / min-fsdp
  ☆92Updated last year
• apple / ml-planner
  ☆55Updated last year
• Pleias / Quest-Best-Tokens
  An introduction to LLM Sampling
  ☆79Updated last year
• Zyphra / Zamba2
  PyTorch implementation of models from the Zamba2 series.
  ☆186Updated 11 months ago
• athms / mad-lab
  A MAD laboratory to improve AI architecture designs 🧪
  ☆136Updated last year
• MadryLab / platinum-benchmarks
  ☆40Updated 9 months ago