OpenPrompt
thinc
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| OpenPrompt | thinc | |
|---|---|---|
| 1 | 4 | |
| 4,141 | 2,787 | |
| 1.9% | 0.5% | |
| 4.4 | 6.9 | |
| 3 months ago | about 22 hours ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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OpenPrompt
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?
autonlp - 🤗 AutoNLP: train state-of-the-art natural language processing models and deploy them in a scalable environment automatically
quantulum3 - Library for unit extraction - fork of quantulum for python3
clip-as-service - 🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
camel_tools - A suite of Arabic natural language processing tools developed by the CAMeL Lab at New York University Abu Dhabi.
horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
nlp-recipes - Natural Language Processing Best Practices & Examples
extending-jax - Extending JAX with custom C++ and CUDA code
chappie.ai - Generalized AI to perform a multitude of tasks written in python3
dm-haiku - JAX-based neural network library
spokestack-python - Spokestack is a library that allows a user to easily incorporate a voice interface into any Python application with a focus on embedded systems.
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.