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Top 8 Python tensorflow-lite Projects
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PINTO_model_zoo
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
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Linux-Fake-Background-Webcam
Faking your webcam background under GNU/Linux, now supports background blurring, animated background, colour map effect, hologram effect and on-demand processing.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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tflite2tensorflow
Generate saved_model, tfjs, tf-trt, EdgeTPU, CoreML, quantized tflite, ONNX, OpenVINO, Myriad Inference Engine blob and .pb from .tflite. Support for building environments with Docker. It is possible to directly access the host PC GUI and the camera to verify the operation. NVIDIA GPU (dGPU) support. Intel iHD GPU (iGPU) support. Supports inverse quantization of INT8 quantization model.
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ai-hub-models
The Qualcomm® AI Hub Models are a collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.
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hiitpi
A workout trainer Dash/Flask app that helps track your HIIT workouts by analyzing real-time video streaming from your sweet Pi using machine learning and Edge TPU..
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tensorflow-lite-YOLOv3
YOLOv3: convert .weights to .tflite format for tensorflow lite. Convert .weights to .pb format for tensorflow serving
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
Project mention: Qualcomm has open sourced more than 80 AI models | news.ycombinator.com | 2024-02-28Hi HN! I'm a member of the team that worked hard on AI Hub and AI Hub Models for the last few years. Excited to see our work show up here!!
I also encourage you take a look at our GitHub repository: https://github.com/quic/ai-hub-models
If you have questions or feature requests, you can reach out to us on Slack (https://join.slack.com/t/qualcomm-ai-hub/shared_invite/zt-2d...) or file an issue on GitHub / Huggingface. We are pretty responsive!
Project mention: Introducing Nobuco: PyTorch to Tensorflow converter. Intuitive, flexible, efficient. | /r/pytorch | 2023-07-02Hence, [Nobuco](https://github.com/AlexanderLutsenko/nobuco). It's designed with simplicity and hackability in mind and automatically solves mismatching channel orders offering near-optimal performance. Try it, and spread the word if you like it. If not, feel free to open an issue or feature request. Any forms of contribution are highly welcome!
Python tensorflow-lite related posts
- Home Assistant’s Year of the Voice – Chapter 2
- TFlite in Kivy
- Inexpensive and decent hardware/software to run AI security cams?
- Linux-Fake-Background-Webcam: Faking your webcam background under GNU/Linux.
- Loading Saved Models for transfer learning
- [R][P]MobileStyleGAN: A Lightweight Convolutional Neural Network for High-Fidelity Image Synthesis
- My mate and I made a program for counting reps and checking posture using pose estimation!
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A note from our sponsor - InfluxDB
www.influxdata.com | 25 Apr 2024
Index
What are some of the best open-source tensorflow-lite projects in Python? This list will help you:
Project | Stars | |
---|---|---|
1 | PINTO_model_zoo | 3,288 |
2 | Linux-Fake-Background-Webcam | 1,563 |
3 | tflite2tensorflow | 249 |
4 | ai-hub-models | 208 |
5 | nobuco | 181 |
6 | hiitpi | 167 |
7 | tensorflow-lite-YOLOv3 | 107 |
8 | efficientnet-lite-keras | 38 |
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