ML-Course-Notes
thinc
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| ML-Course-Notes | thinc | |
|---|---|---|
| 117 | 4 | |
| 5,819 | 2,787 | |
| 0.0% | 0.5% | |
| 0.0 | 6.9 | |
| about 1 year ago | 5 days ago | |
| Python | ||
| GNU General Public License v3.0 or later | MIT License |
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ML-Course-Notes
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?
ML-YouTube-Courses - 📺 Discover the latest machine learning / AI courses on YouTube.
quantulum3 - Library for unit extraction - fork of quantulum for python3
RubixML - A high-level machine learning and deep learning library for the PHP language.
jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Transformers-Recipe - 🧠A study guide to learn about Transformers
horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
extending-jax - Extending JAX with custom C++ and CUDA code
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
OpenPrompt - An Open-Source Framework for Prompt-Learning.
DeepCamera - Open-Source AI Camera. Empower any camera/CCTV with state-of-the-art AI, including facial recognition, person recognition(RE-ID) car detection, fall detection and more