ndl Alexander Tsvyashchenko
github.com/ndl · maintains 26 packages (26 directly), sole maintainer of 24, member of 0 teams
26 packages
| Package ▼ | Version | Maintainers | # | Teams | Deps | Used by | Used by (transitive) | Status |
|---|---|---|---|---|---|---|---|---|
Standard representations for metadata that are useful when training machine learning models with TensorFlow |
1.21.0 |
1 | 19 | 0 | 0 | single | ||
What-If Tool TensorBoard plugin |
1.7.0 → 1.8.1 |
1 | 14 | 0 | 0 | single outdated | ||
Profile Tensorboard Plugin |
2.11.1 → 2.23.2 |
1 | 18 | 0 | 0 | single outdated | ||
Gradient processing and optimization library for JAX |
0.2.8 |
1 | 20 | 6 | 8 | single | ||
This library implements support for mixed precision training in JAX |
0.0.4 |
1 | 20 | 1 | 1 | single | ||
Source-built JAX backend. JAX is Autograd and XLA, brought together for high-performance machine learning research |
0.4.28 |
1 | 26 | 0 | 0 | single broken | ||
Python API for Google Visualization |
1.10.0 |
1 | 17 | 1 | 1 | single | ||
Python library for working with nested data structures |
0.1.10 |
2 | 23 | 5 | 14 | maintained | ||
Haiku is a simple neural network library for JAX developed by some of the authors of Sonnet |
0.0.17 |
1 | 21 | 0 | 0 | single | ||
Flexible HDF5 saving/loading and other data science tools from the University of Chicago |
0.3.7 |
1 | 19 | 1 | 1 | single | ||
Library of utilities for helping to write reliable JAX code |
0.1.92 |
1 | 25 | 4 | 11 | single | ||
Unified model for defining both batch and streaming data-parallel processing pipelines |
2.75.0 → 2.77.0 |
1 | 67 | 1 | 1 | single outdated | ||
Standard representations for metadata that are useful when training machine learning models with TensorFlow |
1.21.0 |
1 | 19 | 1 | 3 | single | ||
Library of datasets ready to use with TensorFlow |
4.9.10 |
1 | 71 | 2 | 2 | single | ||
What-If Tool TensorBoard plugin |
1.7.0 → 1.8.1 |
1 | 14 | 0 | 0 | single outdated | ||
Profile Tensorboard Plugin |
2.11.1 → 2.23.2 |
1 | 18 | 0 | 0 | single outdated | ||
Gradient processing and optimization library for JAX |
0.2.8 |
1 | 20 | 12 | 47 | single | ||
This library implements support for mixed precision training in JAX |
0.0.4 |
1 | 20 | 1 | 11 | single | ||
Source-built JAX backend. JAX is Autograd and XLA, brought together for high-performance machine learning research |
0.4.28 |
1 | 26 | 0 | 0 | single broken | ||
Python API for Google Visualization |
1.10.0 |
1 | 17 | 1 | 1 | single | ||
Neural network library for JAX |
0.12.10 |
1 | 36 | 9 | 25 | single | ||
Python library for working with nested data structures |
0.1.10 |
2 | 23 | 10 | 54 | maintained | ||
Haiku is a simple neural network library for JAX developed by some of the authors of Sonnet |
0.0.17 |
1 | 21 | 3 | 10 | single | ||
Flexible HDF5 saving/loading and other data science tools from the University of Chicago |
0.3.7 |
1 | 19 | 1 | 1 | single | ||
Library of utilities for helping to write reliable JAX code |
0.1.92 |
1 | 25 | 9 | 51 | single | ||
Unified model for defining both batch and streaming data-parallel processing pipelines |
2.75.0 → 2.77.0 |
1 | 67 | 2 | 4 | single outdated |