numpyro
datasets
| numpyro | datasets | |
|---|---|---|
| 2 | 5 | |
| 2,039 | 4,175 | |
| 1.1% | 0.7% | |
| 8.7 | 9.4 | |
| 10 days ago | 5 days ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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numpyro
- Bayesian Analysis with Python
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Saving the World with Bayesian Modeling
Perhaps an alternative to look into: Numpyro [1] has a JAX backend so can be really fast when compiled; and it can run on GPUs. So that might be helpful for your problem with loads of data.
[1] https://github.com/pyro-ppl/numpyro
datasets
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TensorFlow Datasets (TFDS): a collection of ready-to-use datasets
I tried Librispeech, a very common dataset for speech recognition, in both HF and TFDS.
TFDS performed extremely bad.
First it failed because the official hosting server only allows 5 simultaneous connections, and TFDS totally ignored that and makes up to 50 simultaneous downloads and that breaks. I wonder if anyone actually tested this?
Then you need to have some computer with 30GB to do the preparation, which might fail on your computer. This is where I stopped. https://github.com/tensorflow/datasets/issues/3887. It might be fixed now but it took them 8 months to respond to my issue.
On HF, it just worked. There was a smaller issue in how the dataset was split up but that is fixed now, and their response was very fast and great.
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We built a pi controlled hydroponics box that grows your plants 1.5x faster using ML
but it looks like none of your plants are supported by the plantvillage model, or do I understand something wrong? https://github.com/tensorflow/datasets/blob/master/tensorflow_datasets/image_classification/plant_village.py#L57
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Voice Recognition with Tensorflow
To do our example, we're going to use some audio files released by Google.
What are some alternatives?
PyMC - Bayesian Modeling and Probabilistic Programming in Python
Activeloop Hub - Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai [Moved to: https://github.com/activeloopai/deeplake]
trax - Trax — Deep Learning with Clear Code and Speed
flax - Flax is a neural network library for JAX that is designed for flexibility.
einops - Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
jax-models - Unofficial JAX implementations of deep learning research papers
pyprobml - Python code for "Probabilistic Machine learning" book by Kevin Murphy
FedScale - FedScale is a scalable and extensible open-source federated learning (FL) platform.
BayesianEcosystems_IAP - Notes and code for Bayesian ecosystem modeling IAP course
Bayeslite - BayesDB on SQLite. A Bayesian database table for querying the probable implications of data as easily as SQL databases query the data itself.
jaxopt - Hardware accelerated, batchable and differentiable optimizers in JAX.