foolbox
thinc
| foolbox | thinc | |
|---|---|---|
| 1 | 4 | |
| 2,663 | 2,796 | |
| 1.1% | 0.5% | |
| 6.6 | 7.6 | |
| about 1 month ago | 10 days ago | |
| Python | Python | |
| MIT License | MIT License |
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foolbox
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More snake-oil
Go ahead, play with any adversarial attacks from https://github.com/bethgelab/foolbox you will not find an attack that is both robust to perturbations and almost visually imperceptible
thinc
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JAX – NumPy on the CPU, GPU, and TPU, with great automatic differentiation
Agree, though I wouldn’t call PyTorch a drop-in for NumPy either. CuPy is the drop-in. Excepting some corner cases, you can use the same code for both. Thinc’s ops work with both NumPy and CuPy:
https://github.com/explosion/thinc/blob/master/thinc/backend...
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Tinygrad: A simple and powerful neural network framework
I love those tiny DNN frameworks, some examples that I studied in the past (I still use PyTorch for work related projects) :
thinc.by the creators of spaCy https://github.com/explosion/thinc
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good examples of functional-like python code that one can study?
thinc - defining neural nets in functional way jax, a new deep learning framework puts emphasis on functions rather than tensors, I've tested it for a couple of applications and it's really cool, you can write stuff like you'd write math expressions in papers using numpy. That speeds up development significantly, and makes code much more readable
- thinc - A refreshing functional take on deep learning, compatible with your favorite libraries
What are some alternatives?
pennylane - PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.
quantulum3 - Library for unit extraction - fork of quantulum for python3
d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
ivy - The Unified Machine Learning Framework [Moved to: https://github.com/unifyai/ivy]
horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
autocvd - Tool to automatically set CUDA_VISIBLE_DEVICES based on GPU utilization. Usable from command line and code.
extending-jax - Extending JAX with custom C++ and CUDA code
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
dm-haiku - JAX-based neural network library
AIF360 - A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
textacy - NLP, before and after spaCy