YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
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Updated
Nov 26, 2024 - Python
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Visualizer for neural network, deep learning and machine learning models
ncnn is a high-performance neural network inference framework optimized for the mobile platform
Open standard for machine learning interoperability
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
Unified framework for building enterprise RAG pipelines with small, specialized models
A collection of pre-trained, state-of-the-art models in the ONNX format
Open source real-time translation app for Android that runs locally
Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, OpenCV Contrib, and OpenVINO.
Setup and customize deep learning environment in seconds.
Remove backgrounds from images directly in the browser environment with ease and no additional costs or privacy concerns. Explore an interactive demo.
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
Simple and Distributed Machine Learning
Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple
Java version of LangChain
Deep Learning Visualization Toolkit(『飞桨』深度学习可视化工具 )
Tengine is a lite, high performance, modular inference engine for embedded device
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