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.
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Self-hosted, local only NVR and AI Computer Vision software. With features such as object detection, motion detection, face recognition and more, it gives you the power to keep an eye on your home, office or any other place you want to monitor.
[验证码识别-训练] This project is based on CNN/ResNet/DenseNet+GRU/LSTM+CTC/CrossEntropy to realize verification code identification. This project is only for training the model.
:unlock: Lip Reading - Cross Audio-Visual Recognition using 3D Architectures
Hyperparameter Experiments with TensorFlow and Keras
Library for Fast and Flexible Human Pose Estimation
TensorFlow Implementation of Unsupervised Cross-Domain Image Generation
ROS package for dynamic obstacle avoidance for ground robots trained with deep RL
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
TensorLayerX: A Unified Deep Learning and Reinforcement Learning Framework for All Hardwares, Backends and OS.
🎆 A visualization of the CapsNet layers to better understand how it works
Hierarchical Attentive Recurrent Tracking
A Tensorfflow implementation of Attend, Infer, Repeat