imgbeddings
ai-music
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imgbeddings | ai-music | |
---|---|---|
8 | 5 | |
122 | 9 | |
- | - | |
0.0 | 0.0 | |
about 2 years ago | over 2 years ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 only |
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.
imgbeddings
- FLaNK Stack Weekly for 20 Nov 2023
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Content-Based Image Retrieval
Seconding the recommendation of CLIP embeddings, especially compared to image histograms + requiring OpenCV.
I wrote a naive, minimal dependency Python package to calculate image embeddings (https://github.com/minimaxir/imgbeddings) with some lookup demo notebooks and it works well in a pinch, although it's due for an upgrade.
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How to build a working AI only using synthetic data in just 5 minutes
Normally, this is Hacker News reductiveness, but yes, image classification via CLIP is that easy, especially with Hugging Face's API for it: https://huggingface.co/docs/transformers/model_doc/clip
I created a Python package to generate image embeddings from CLIP's vision model (without requiring a ML framework), and a simple linear classifier on those embeddings does the trick: https://github.com/minimaxir/imgbeddings
- GitHub - minimaxir/imgbeddings: Python package to generate image embeddings with CLIP without PyTorch/TensorFlow
- Show HN: Python package to create image embeddings without PyTorch/TensorFlow
- I've released a Python package which lets you generate vector representations of images clustering/similarity search/classifier building with a twist: neither PyTorch nor TensorFlow is used!
- [P] I've released a Python package which lets you generate vector representations of images with a twist: neither PyTorch nor TensorFlow is used!
- Show HN: Python package to create image embeddings with o PyTorch/TensorFlow
ai-music
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I can't manage to make training work... please help me out
I m a newbie when it comes to deep learning, but I am trying to use a code from git and train the network on my own data. however, it takes forever..it took 80 minutes for 1 epoch, and the number of epoches is 1000. i also tried reducing batch size and using google collab.. please,i dont get what i am doing wrong... at first i tried running on cpu,then on gpu,but i get OOM error even when changing parameters.. any help is appreciated. This is the code : https://github.com/markusaksli/ai-music
- I made a machine learning Final Fantasy OST MIDI generator
- [Project] I made a Transformer-Decoder Final Fantasy OST MIDI generator
- I made a Transformer-Decoder Final Fantasy OST MIDI generator
What are some alternatives?
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FLaNK-EveryTransitSystem - Every transit system
Spectrum - Spectrum is an AI that uses machine learning to generate Rap song lyrics
haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
keygen - Keygen composes original music in the form of midi files.
screenshot-to-code - Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)
MidiTok - MIDI / symbolic music tokenizers for Deep Learning models 🎶
dalle2-in-python - Use DALL·E 2 in Python
CARLA - CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
TinyLlama - The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.
tuneflow-py - 🧠+🎧 Build your music algorithms and AI models with the next-gen DAW 🔥