Alternatives and similar repositories for ml-planner

Users that are interested in ml-planner are comparing it to the libraries listed below

• cloneofsimo / min-max-gpt
  Minimal (400 LOC) implementation Maximum (multi-node, FSDP) GPT training
  ☆132Updated last year
• RobertCsordas / moeut
  ☆87Updated last year
• epfml / DenseFormer
  ☆81Updated last year
• OpenEvaByte / evabyte
  EvaByte: Efficient Byte-level Language Models at Scale
  ☆110Updated 6 months ago
• mcleish7 / arithmetic
  Code to reproduce "Transformers Can Do Arithmetic with the Right Embeddings", McLeish et al (NeurIPS 2024)
  ☆193Updated last year
• google-deepmind / mishax
  ☆143Updated 2 months ago
• ContextualAI / CLAIR_and_APO
  Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment
  ☆60Updated last year
• HazyResearch / zoology
  Understand and test language model architectures on synthetic tasks.
  ☆238Updated last month
• EleutherAI / nanoGPT-mup
  The simplest, fastest repository for training/finetuning medium-sized GPTs.
  ☆171Updated 4 months ago
• ahstat / episodic-memory-benchmark
  Synthetic data generation and benchmark implementation for "Episodic Memories Generation and Evaluation Benchmark for Large Language Mode…
  ☆56Updated last month
• berlino / seq_icl
  ☆53Updated last year
• SalesforceAIResearch / LaTRO
  ☆124Updated 8 months ago
• kanishkg / stream-of-search
  Repository for the paper Stream of Search: Learning to Search in Language
  ☆151Updated 9 months ago
• katiekang1998 / reasoning_generalization
  ☆33Updated 10 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
  ☆131Updated 2 weeks ago
• dvruette / barrel-rec-pytorch
  ☆53Updated last year
• EleutherAI / improved-t5
  Experiments for efforts to train a new and improved t5
  ☆75Updated last year
• athms / mad-lab
  A MAD laboratory to improve AI architecture designs 🧪
  ☆133Updated 10 months ago
• JoshEngels / MultiDimensionalFeatures
  Code for reproducing our paper "Not All Language Model Features Are Linear"
  ☆83Updated 11 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…
  ☆64Updated last month
• taufeeque9 / codebook-features
  Sparse and discrete interpretability tool for neural networks
  ☆64Updated last year
• epfml / schedules-and-scaling
  Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"
  ☆85Updated last year
• vicksEmmanuel / latent-gemma
  ☆26Updated 10 months ago
• ConsequentAI / fneval
  Functional Benchmarks and the Reasoning Gap
  ☆89Updated last year
• ChenWu98 / algorithmic-creativity
  [ICML 2025] Roll the dice & look before you leap: Going beyond the creative limits of next-token prediction
  ☆74Updated 5 months ago
• apoorvkh / academic-pretraining
  $100K or 100 Days: Trade-offs when Pre-Training with Academic Resources
  ☆148Updated last month
• mlfoundations / scaling
  Language models scale reliably with over-training and on downstream tasks
  ☆100Updated last year
• lucidrains / coconut-pytorch
  Implementation of 🥥 Coconut, Chain of Continuous Thought, in Pytorch
  ☆179Updated 4 months ago
• idiap / sigma-gpt
  σ-GPT: A New Approach to Autoregressive Models
  ☆68Updated last year
• jonhue / activeft
  PyTorch library for Active Fine-Tuning
  ☆93Updated last month