google-deepmind / treescopeLinks
An interactive HTML pretty-printer for machine learning research in IPython notebooks.
β458Updated 6 months ago
Alternatives and similar repositories for treescope
Users that are interested in treescope are comparing it to the libraries listed below
Sorting:
- A JAX research toolkit for building, editing, and visualizing neural networks.β1,860Updated 7 months ago
- π§± Modula software packageβ322Updated 5 months ago
- β291Updated last year
- β492Updated last year
- A tool to analyze and debug neural networks in pytorch. Use a GUI to traverse the computation graph and view the data from many differentβ¦β298Updated last year
- A Jax-based library for building transformers, includes implementations of GPT, Gemma, LlaMa, Mixtral, Whisper, SWin, ViT and more.β300Updated last year
- Universal Notation for Tensor Operations in Python.β469Updated 10 months ago
- β251Updated 7 months ago
- A simple & elegant experiment tracking framework that integrates persistence logic & best practices directly into Pythonβ538Updated last year
- An implementation of PSGD Kron second-order optimizer for PyTorchβ98Updated 6 months ago
- Open weights language model from Google DeepMind, based on Griffin.β663Updated this week
- A pure NumPy implementation of Mamba.β222Updated last year
- Uncertainty quantification with PyTorchβ379Updated last week
- A complete end-to-end pipeline for LLM interpretability with sparse autoencoders (SAEs) using Llama 3.2, written in pure PyTorch and fullβ¦β628Updated 10 months ago
- Compositional Linear Algebraβ507Updated 6 months ago
- Named Tensors for Legible Deep Learning in JAXβ218Updated 3 months ago
- Next Generation Experimental Tracking for Machine Learning Operationsβ364Updated 8 months ago
- Legible, Scalable, Reproducible Foundation Models with Named Tensors and Jaxβ693Updated 2 weeks ago
- Library for reading and processing ML training data.β680Updated this week
- For optimization algorithm research and development.β558Updated 3 weeks ago
- A plotting tool that outputs Line Rider maps, so you can watch a man on a sled scoot down your loss curves. πΏβ332Updated last year
- AutoBound automatically computes upper and lower bounds on functions.β364Updated 3 months ago
- Cost aware hyperparameter tuning algorithmβ179Updated last year
- β215Updated last year
- Machine Learning with Symbolic Tensorsβ356Updated last month
- Nabla is a novel Distributed-Tensor and Scientific-Computing Framework; built from scratch on top of Mojo and MAXβ318Updated this week
- A declarative drawing API in Pythonβ298Updated last year
- Puzzles for exploring transformersβ386Updated 2 years ago
- β265Updated last week
- β214Updated 2 weeks ago