AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
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Updated
Jun 1, 2020 - Python
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )
Experience, Learn and Code the latest breakthrough innovations with Microsoft AI
pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.
Speech synthesis, voice conversion, self-supervised learning, music generation,Automatic Speech Recognition, Speaker Verification, Speech Synthesis, Language Modeling
NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego
Tengine is a lite, high performance, modular inference engine for embedded device
GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2
GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.
when clicking link IntroDetail.Text in Installwizard, it opens https://www.dnnsoftware.com/community/learn/video-library/view-video/video/515/view/details/dnn-7-0-installation-part-1-file-system-configuration, which posesses historic value only
Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving (ICCV, 2019)
Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.
RMDL: Random Multimodel Deep Learning for Classification
Optimized (for size and speed) Caffe lib for iOS and Android with out-of-the-box demo APP.
Heterogeneous Run Time version of Caffe. Added heterogeneous capabilities to the Caffe, uses heterogeneous computing infrastructure framework to speed up Deep Learning on Arm-based heterogeneous embedded platform. It also retains all the features of the original Caffe architecture which users deploy their applications seamlessly.
仅使用numpy从头开始实现神经网络,包括反向传播公式推导过程; numpy构建全连接层、卷积层、池化层、Flatten层;以及图像分类案例及精调网络案例等,持续更新中... ...
HLS based Deep Neural Network Accelerator Library for Xilinx Ultrascale+ MPSoCs
An Open Source Modular Framework From Face to FACS Based Avatar Animation (Unity3D / Blender)
LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks
Neural network-based singing voice synthesis library for research
machine learning algorithm
Open Toolkit for Painless Object Detection
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[x] admin experience UI
Current behavior
If you click "change template", and then the app name on the left, you are allowed to click on any app. If you do, it will show the progress bar, but will never finish and when you reload it will show the error on the screenshot. https://pasteboard.co/GNPJ6d7.
Lightweight turnkey solution for AI
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Several parts of the op sec like the main op description, attributes, input and output descriptions become part of the binary that consumes ONNX e.g. onnxruntime causing an increase in its size due to strings that take no part in the execution of the model or its verification.
Setting
__ONNX_NO_DOC_STRINGSdoesn't really help here since (1) it's not used in the SetDoc(string) overload (s