Alternatives and similar repositories for starter-kits

Users that are interested in starter-kits are comparing it to the libraries listed below

• tcapelle / llm_recipes
  A set of scripts and notebooks on LLM finetunning and dataset creation
  ☆116Updated last year
• wandb / aihackercup
  A competition to get you started on the NeurIPS AI Hackercup
  ☆29Updated last year
• MekkCyber / TritonAcademy
  A repository to unravel the language of GPUs, making their kernel conversations easy to understand
  ☆198Updated 8 months ago
• Cohere-Labs-Community / AI-Alignment-Cohort
  ☆29Updated last year
• llm-efficiency-challenge / neurips_llm_efficiency_challenge
  NeurIPS Large Language Model Efficiency Challenge: 1 LLM + 1GPU + 1Day
  ☆260Updated 2 years ago
• RiddleHe / llm-interp
  A collection of lightweight interpretability scripts to understand how LLMs think
  ☆89Updated 2 weeks ago
• huggingface / competitions
  ☆125Updated last year
• anyscale / e2e-llm-workflows
  Fine-tune an LLM to perform batch inference and online serving.
  ☆120Updated 8 months ago
• srush / GPTWorld
  A puzzle to learn about prompting
  ☆135Updated 2 years ago
• muellerzr / minimal-trainer-zoo
  Minimal example scripts of the Hugging Face Trainer, focused on staying under 150 lines
  ☆196Updated last year
• divyamakkar0 / JAXformer
  A zero-to-one guide on scaling modern transformers with n-dimensional parallelism.
  ☆115Updated last month
• warner-benjamin / commented-transformers
  Highly commented implementations of Transformers in PyTorch
  ☆138Updated 2 years ago
• basetenlabs / Workshop-TRT-LLM
  ☆20Updated last year
• allenai / fm-cheatsheet
  Website for hosting the Open Foundation Models Cheat Sheet.
  ☆269Updated 9 months ago
• muellerzr / nbdistributed
  Seemless interface of using PyTOrch distributed with Jupyter notebooks
  ☆57Updated 4 months ago
• wolfecameron / nanoMoE
  An extension of the nanoGPT repository for training small MOE models.
  ☆236Updated 11 months ago
• nano-R1 / resources
  Compiling useful links, papers, benchmarks, ideas, etc.
  ☆46Updated 10 months ago
• ayulockin / neurips-llm-efficiency-challenge
  Starter pack for NeurIPS LLM Efficiency Challenge 2023.
  ☆129Updated 2 years ago
• ThinamXx / Meta-llama
  Complete implementation of Llama2 with/without KV cache & inference 🚀
  ☆49Updated last year
• google-deepmind / onetwo
  ☆259Updated 2 months ago
• Pleias / Quest-Best-Tokens
  An introduction to LLM Sampling
  ☆79Updated last year
• mcleish7 / arithmetic
  Code to reproduce "Transformers Can Do Arithmetic with the Right Embeddings", McLeish et al (NeurIPS 2024)
  ☆198Updated last year
• patronus-ai / Lynx-hallucination-detection
  ☆43Updated last year
• ekshaks / ragpipe
  Iterate fast on your RAG pipelines
  ☆24Updated 7 months ago
• stas00 / ml-ways
  ML/DL Math and Method notes
  ☆66Updated 2 years ago
• sangmichaelxie / cs324_p2
  Project 2 (Building Large Language Models) for Stanford CS324: Understanding and Developing Large Language Models (Winter 2022)
  ☆105Updated 2 years ago
• tyler-romero / microR1
  Simple repository for training small reasoning models
  ☆49Updated last year
• naklecha / llm-inference-optimizations-explained
  in this repository, i'm going to implement increasingly complex llm inference optimizations
  ☆81Updated 8 months ago
• google-deepmind / mishax
  ☆152Updated 5 months ago
• xrsrke / pipegoose
  Large scale 4D parallelism pre-training for 🤗 transformers in Mixture of Experts *(still work in progress)*
  ☆86Updated 2 years ago