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.

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

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.

An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks

Largest list of models for Core ML (for iOS 11+)

Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)

Deep Learning GPU Training System

Go package for computer vision using OpenCV 4 and beyond.

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

The convertor/conversion of deep learning models for different deep learning frameworks/softwares.

Deep Learning Visualization Toolkit（『飞桨』深度学习可视化工具 ）

Squeeze-and-Excitation Networks

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++11 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

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

AI on Hadoop

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.

Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

《深度学习与计算机视觉》配套代码

Caffe Implementation of Google's MobileNets (v1 and v2)

开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.

FeatherCNN is a high performance inference engine for convolutional neural networks.

🏭 Collaboratively build, visualize, and design neural nets in browser