jndean / LossRiderLinks
A plotting tool that outputs Line Rider maps, so you can watch a man on a sled scoot down your loss curves. πΏ
β330Updated 10 months ago
Alternatives and similar repositories for LossRider
Users that are interested in LossRider are comparing it to the libraries listed below
Sorting:
- An interactive HTML pretty-printer for machine learning research in IPython notebooks.β426Updated 2 months ago
- TensorHue is a Python library that allows you to visualize tensors right in your console, making understanding and debugging tensor conteβ¦β118Updated 4 months ago
- β150Updated 11 months ago
- Universal Tensor Operations in Einstein-Inspired Notation for Python.β385Updated 3 months ago
- 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¦β286Updated 7 months ago
- Best practices & guides on how to write distributed pytorch training codeβ450Updated 4 months ago
- An implementation of PSGD Kron second-order optimizer for PyTorchβ92Updated 3 months ago
- For optimization algorithm research and development.β521Updated this week
- Install PyTorch distributions with computation backend auto-detectionβ253Updated 2 months ago
- Display progress as a pretty table in the command line.β136Updated 4 months ago
- TensorDict is a pytorch dedicated tensor container.β942Updated this week
- Software design principles for machine learning applicationsβ361Updated 3 months ago
- Package for extracting and mapping the results of every single tensor operation in a PyTorch model in one line of code.β595Updated 4 months ago
- A pure NumPy implementation of Mamba.β224Updated last year
- Next Generation Experimental Tracking for Machine Learning Operationsβ326Updated last month
- β440Updated 9 months ago
- The boundary of neural network trainability is fractalβ210Updated last year
- Scalable and Performant Data Loadingβ288Updated this week
- Official Implementation of "ADOPT: Modified Adam Can Converge with Any Ξ²2 with the Optimal Rate"β426Updated 7 months ago
- A JAX research toolkit for building, editing, and visualizing neural networks.β1,804Updated 3 weeks ago
- β304Updated last year
- Tensors, for human consumptionβ1,268Updated 3 weeks ago
- Transform datasets at scale. Optimize datasets for fast AI model training.β506Updated this week
- Highly commented implementations of Transformers in PyTorchβ136Updated last year
- Library for Jacobian descent with PyTorch. It enables the optimization of neural networks with multiple losses (e.g. multi-task learning)β¦β251Updated this week
- The AdEMAMix Optimizer: Better, Faster, Older.β183Updated 10 months ago
- A declarative drawing API in Pythonβ294Updated 10 months ago
- Puzzles for exploring transformersβ355Updated 2 years ago
- Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/β1,482Updated 2 months ago
- Getting crystal-like representations with harmonic lossβ192Updated 3 months ago