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Top 23 tensorflow-lite Open-Source 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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InfluxDB
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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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awesome-tensorflow-lite
An awesome list of TensorFlow Lite models, samples, tutorials, tools and learning resources.
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react-native-fast-tflite
🔥 High-performance TensorFlow Lite library for React Native with GPU acceleration
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tevr-asr-tool
State-of-the-art (ranked #1 Aug 2022) German Speech Recognition in 284 lines of C++. This is a 100% private 100% offline 100% free CLI tool.
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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.
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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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Dual-Edge-TPU-Adapter
Dual Edge TPU Adapter to use it on a system with single PCIe port on m.2 A/B/E/M slot
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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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rpi-urban-mobility-tracker
The easiest way to count pedestrians, cyclists, and vehicles on edge computing devices or live video feeds.
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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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coral-pi-rest-server
Perform inferencing of tensorflow-lite models on an RPi with acceleration from Coral USB stick
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kivy-tensorflow-helloworld
Run inference with Tensorflow Lite on iOS, Android, MacOS, Windows and Linux using Python.
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RPi_64-bit_Zero-2-image
Raspberry Pi Zero 2 W 64-bit OS image with OpenCV, TensorFlow Lite and ncnn Framework.
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vision_transformer_tf
This repository contains the TensorFlow implementation of the paper "AN IMAGE IS WORTH 16X16 WORDS: TRANSFORMERS FOR IMAGE RECOGNITION AT SCALE" known as vision transformers.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Project mention: What's the best PyTorch model visualization tool? | news.ycombinator.com | 2024-04-28Netron seems to be the best that I've seen so far. https://github.com/lutzroeder/netron
Camera and Image Captioning: For taking pictures we will use react-native-vision-camera and for generating captions from the images, react-native-quick-tflite.
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!
Project mention: BeagleY-AI: 4 TOPS-capable $70 board from Beagleboard | news.ycombinator.com | 2024-03-27
I built a Rust TinyML compiler for my master thesis project: https://github.com/matteocarnelos/microflow-rs
It uses Rust procedural macros to evaluate the model at compile time and create a predict() function that performs inference on the given model. By doing so, I was able to strip down the binary way more than TensorFlow Lite for Microcontrollers and other engines. I even managed to run a speech command recognizer (TinyConv) on an 8-bit ATmega328 (Arduino Uno).
tensorflow-lite related posts
- BeagleY-AI: 4 TOPS-capable $70 board from Beagleboard
- TinyML: Ultra-low power Machine Learning
- Do you recommend Orange PI for ML or LLM projects?
- Framework for machine learning?
- Mini PC for AI
- What are some USB devices worth using in a Home Lab Environment?
- Is a PCIe x1 enough for light ML tasks
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A note from our sponsor - InfluxDB
www.influxdata.com | 29 Apr 2024
Index
What are some of the best open-source tensorflow-lite projects? This list will help you:
Project | Stars | |
---|---|---|
1 | netron | 26,110 |
2 | PINTO_model_zoo | 3,288 |
3 | Linux-Fake-Background-Webcam | 1,563 |
4 | awesome-tensorflow-lite | 1,099 |
5 | tf-lite-unity-sample | 812 |
6 | react-native-fast-tflite | 522 |
7 | tevr-asr-tool | 408 |
8 | tflite2tensorflow | 249 |
9 | Dual-Edge-TPU-Adapter | 235 |
10 | ai-hub-models | 208 |
11 | nobuco | 185 |
12 | hiitpi | 167 |
13 | tflite_flutter_helper | 154 |
14 | rpi-urban-mobility-tracker | 111 |
15 | tensorflow-lite-YOLOv3 | 107 |
16 | coral-pi-rest-server | 66 |
17 | microflow-rs | 58 |
18 | kivy-tensorflow-helloworld | 43 |
19 | efficientnet-lite-keras | 38 |
20 | zig-tflite | 29 |
21 | BERT-for-Mobile | 29 |
22 | RPi_64-bit_Zero-2-image | 24 |
23 | vision_transformer_tf | 24 |
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