srush / Transformer-PuzzlesLinks
Puzzles for exploring transformers
☆378Updated 2 years ago
Alternatives and similar repositories for Transformer-Puzzles
Users that are interested in Transformer-Puzzles are comparing it to the libraries listed below
Sorting:
- ☆460Updated last year
- What would you do with 1000 H100s...☆1,128Updated last year
- ☆285Updated last year
- Annotated version of the Mamba paper☆491Updated last year
- An interactive exploration of Transformer programming.☆271Updated 2 years ago
- A puzzle to learn about prompting☆135Updated 2 years ago
- Legible, Scalable, Reproducible Foundation Models with Named Tensors and Jax☆685Updated this week
- MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvement…☆401Updated this week
- Deep learning for dummies. All the practical details and useful utilities that go into working with real models.☆826Updated 3 months ago
- ☆546Updated last year
- Solve puzzles. Learn CUDA.☆64Updated last year
- For optimization algorithm research and development.☆547Updated last week
- Everything you want to know about Google Cloud TPU☆552Updated last year
- Minimalistic, extremely fast, and hackable researcher's toolbench for GPT models in 307 lines of code. Reaches <3.8 validation loss on wi…☆352Updated last year
- 🧱 Modula software package☆307Updated 3 months ago
- Building blocks for foundation models.☆579Updated last year
- seqax = sequence modeling + JAX☆168Updated 4 months ago
- Resources from the EleutherAI Math Reading Group☆54Updated 8 months ago
- ☆530Updated 3 months ago
- A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.☆583Updated 3 months ago
- Resources for skilling up in AI alignment research engineering. Covers basics of deep learning, mechanistic interpretability, and RL.☆232Updated 3 months ago
- Fast bare-bones BPE for modern tokenizer training☆170Updated 5 months ago
- Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs☆700Updated this week
- Efficient optimizers☆276Updated 2 weeks ago
- Best practices & guides on how to write distributed pytorch training code☆540Updated last month
- ☆311Updated last year
- ☆178Updated last year
- ☆166Updated 2 years ago
- CIFAR-10 speedruns: 94% in 2.6 seconds and 96% in 27 seconds☆326Updated last week
- JAX implementation of the Llama 2 model☆216Updated last year