thinc
clip-as-service
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thinc | clip-as-service | |
---|---|---|
4 | 15 | |
2,781 | 12,148 | |
0.1% | 0.7% | |
6.9 | 5.2 | |
about 1 month ago | 2 months ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
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
clip-as-service
- Image Similarity Score using transfer learning
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Google launched multisearch last week, here's how you can create your own multisearch
Multisearch allows people to search with both text and images. With Open-Source project CLIP-as-service, you can use CLIP (a deep learning model by OpenAI) to do the same. Ask me if you have any questions?
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Natural text to image search(without captions), using CLIP model. Notebook in comment.
Are you scraping these images or using any dataset? Do share the link, would love to play around with it. Would love to hear your feedback for clip-as-service (what I use in my example)?
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Released my 2nd best open-source project out of 170 projects shipped in the past 2 yrs to make AI powered search easy
And this latest project Clip as a service has just received 10k stars on GitHub, very close to my other project Jina which has 14k stars. Clip as a service providers an easy and intuitive way to create embeddings for text and images that can be used to create semantic text and image search.
What are some alternatives?
BERTopic - Leveraging BERT and c-TF-IDF to create easily interpretable topics.
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
quantulum3 - Library for unit extraction - fork of quantulum for python3
DeBERTa - The implementation of DeBERTa
rclip - AI-Powered Command-Line Photo Search Tool
spaCy - đź’« Industrial-strength Natural Language Processing (NLP) in Python
jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
electra - ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
OpenPrompt - An Open-Source Framework for Prompt-Learning.
extending-jax - Extending JAX with custom C++ and CUDA code
ludwig - Low-code framework for building custom LLMs, neural networks, and other AI models