lancedb-study
onnxruntime
| lancedb-study | onnxruntime | |
|---|---|---|
| 1 | 56 | |
| 13 | 12,960 | |
| - | 4.4% | |
| 8.9 | 10.0 | |
| 6 months ago | about 16 hours ago | |
| Python | C++ | |
| MIT License | MIT License |
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lancedb-study
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VectorDB: Vector Database Built by Kagi Search
I thought the API here was quite neat. It's fairly simple to implement a lancedb backend for it instead of sklearn/faiss/mrpt as the source code is really simple.
This repo is basically just a nice api and the needed chunking and batching logic. Using lancedb, you'd still have to write that, as exemplified here: https://github.com/prrao87/lancedb-study/blob/main/lancedb/i...
onnxruntime
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Machine Learning with PHP
ONNX Runtime: ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
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AI Inference now available in Supabase Edge Functions
Embedding generation uses the ONNX runtime under the hood. This is a cross-platform inferencing library that supports multiple execution providers from CPU to specialized GPUs.
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Deep Learning in JavaScript
tfjs is dead, looking at the commit history. The standard now is to convert PyTorch to onnx, then use onnxruntime (https://github.com/microsoft/onnxruntime/tree/main/js/web) to run the model on the browsdr.
- FLaNK Stack 05 Feb 2024
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Vcc – The Vulkan Clang Compiler
- slang[2] has the potential, but the meta programming part is not as strong as C++, existing libraries cannot be used.
The above conclusion is drawn from my work https://github.com/microsoft/onnxruntime/tree/dev/opencl, purely nightmare to work with thoes drivers and jit compilers. Hopefully Vcc can take compute shader more seriously.
[1]: https://www.circle-lang.org/
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Oracle-samples/sd4j: Stable Diffusion pipeline in Java using ONNX Runtime
I did. It depends what you want, for an overview of how ONNX Runtime works then Microsoft have a bunch of things on https://onnxruntime.ai, but the Java content is a bit lacking on there as I've not had time to write much. Eventually I'll probably write something similar to the C# SD tutorial they have on there but for the Java API.
For writing ONNX models from Java we added an ONNX export system to Tribuo in 2022 which can be used by anything on the JVM to export ONNX models in an easier way than writing a protobuf directly. Tribuo doesn't have full coverage of the ONNX spec, but we're happy to accept PRs to expand it, otherwise it'll fill out as we need it.
- Mamba-Chat: A Chat LLM based on State Space Models
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VectorDB: Vector Database Built by Kagi Search
What about models besides GPT? Most of the popular vector encoding models aren't using this architecture.
If you really didn't want PyTorch/Transformers, you could consider exporting your models to ONNX (https://github.com/microsoft/onnxruntime).
- ONNX runtime: Cross-platform accelerated machine learning
- Onnx Runtime: “Cross-Platform Accelerated Machine Learning”
What are some alternatives?
txtai - 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
onnx - Open standard for machine learning interoperability
Wallabag - wallabag is a self hostable application for saving web pages: Save and classify articles. Read them later. Freely.
onnx-tensorrt - ONNX-TensorRT: TensorRT backend for ONNX
deeplake - Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
onnx-simplifier - Simplify your onnx model
vectordb - A minimal Python package for storing and retrieving text using chunking, embeddings, and vector search.
ONNX-YOLOv7-Object-Detection - Python scripts performing object detection using the YOLOv7 model in ONNX.
cog - Micro Graph Database for Python Applications
onnx-tensorflow - Tensorflow Backend for ONNX
MLflow - Open source platform for the machine learning lifecycle
TensorRT - PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT