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

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

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+)

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（『飞桨』深度学习可视化工具 ）

Deep Learning GPU Training System

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.

MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle

Squeeze-and-Excitation Networks

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 PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

校招、秋招、春招、实习好项目！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