OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
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Updated
Oct 11, 2021 - C++
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OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Visualizer for neural network, deep learning, and machine learning models
ncnn is a high-performance neural network inference framework optimized for the mobile platform
Set up deep learning environment in a single command line.
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.
Largest list of models for Core ML (for iOS 11+)
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
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)
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 )
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
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, Caffe2, 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.
AI on Hadoop
Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.
《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
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)
Caffe Implementation of Google's MobileNets (v1 and v2)
A repository that shares tuning results of trained models generated by TensorFlow / Keras. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. TensorFlow Lite. OpenVINO. CoreML. TensorFlow.js. TF-TRT. MediaPipe. ONNX. [.tflite,.h5,.pb,saved_model,tfjs,tftrt,mlmodel,.xml/.bin, .onnx]
Add a description, image, and links to the caffe topic page so that developers can more easily learn about it.
To associate your repository with the caffe topic, visit your repo's landing page and select "manage topics."
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.