OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
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Updated
Aug 3, 2024 - C++
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.
ncnn is a high-performance neural network inference framework optimized for the mobile platform
Trí tuệ nhân tạo học tập lộ tuyến đồ, sửa sang lại gần 200 cái thực chiến trường hợp cùng hạng mục, miễn phí cung cấp nguyên bộ giáo tài, linh cơ sở nhập môn, vào nghề thực chiến! Bao gồm: Python, toán học, máy móc học tập, số liệu phân tích, chiều sâu học tập, máy tính thị giác, tự nhiên ngôn ngữ xử lý, 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 chờ đứng đầu lĩnh vực
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, and OpenCV Contrib.
Largest list of models for Core ML (for iOS 11+)
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.
Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
Deep Learning Visualization Toolkit ( 『 phi mái chèo 』 chiều sâu học tập khả thị hóa công cụ )
Deep Learning GPU Training System
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.
Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.
The convertor/conversion of deep learning models for different deep learning frameworks/softwares.
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
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