AI on Hadoop
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Updated
Jun 1, 2024 - Java
AI on Hadoop
Visualizer for neural network, deep learning and machine learning models
带你从零实现一个高性能的深度学习推理库,支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step
ncnn is a high-performance neural network inference framework optimized for the mobile platform
The NNEF Tools repository contains tools to generate and consume NNEF documents
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
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.
Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
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.
Object Detection using MobileNet SSD caffe model
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Deep Learning Inference benchmark. Supports OpenVINO™ toolkit, Caffe, TensorFlow, TensorFlow Lite, ONNX Runtime, OpenCV DNN, MXNet, PyTorch, Apache TVM, ncnn, etc.
Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, and OpenCV Contrib.
train resnet on imagenet from scratch with caffe
Joint Detection and Identification Feature Learning for Person Search
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