Visualizer for neural network, deep learning, and machine learning models
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Updated
May 15, 2022 - JavaScript
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Visualizer for neural network, deep learning, and machine learning models
ncnn is a high-performance neural network inference framework optimized for the mobile platform
Setup and customize deep learning environment in seconds.
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.
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
Largest list of models for Core ML (for iOS 11+)
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)
人工智能学习路线图,整理近200个实战案例与项目,免费提供配套教材,零基础入门,就业实战!包括:Python,数学,机器学习,数据分析,深度学习,计算机视觉,自然语言处理,PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域
Go package for computer vision using OpenCV 4 and beyond.
Deep Learning Visualization Toolkit(『飞桨』深度学习可视化工具 )
Deep Learning GPU Training System
The convertor/conversion of deep learning models for different deep learning frameworks/softwares.
Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.
Deep learning software for colorizing black and white images with a few clicks.
Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
Türkiye'de yapılan derin öğrenme (deep learning) ve makine öğrenmesi (machine learning) çalışmalarının derlendiği sayfa.
Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.
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.
Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)
《深度学习与计算机视觉》配套代码
Caffe models (including classification, detection and segmentation) and deploy files for famouse networks
Please refactor and automate Pull Request greeting action without maintainer approval.
Caffe Implementation of Google's MobileNets (v1 and v2)
Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome
FeatherCNN is a high performance inference engine for convolutional neural networks.
Add a description, image, and links to the caffe topic page so that developers can more easily learn about it.
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Use case
Polyaxon tracking can be used to automatically log all information generated by Ludwig.
We should probably think about adding support for Polyaxon's tracking module in Ludwig contrib.