AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

Open standard for machine learning interoperability

Experience, Learn and Code the latest breakthrough innovations with Microsoft AI

Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, and OpenCV Contrib.

DNN (formerly DotNetNuke) is the leading open source web content management platform (CMS) in the Microsoft ecosystem.

GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2

Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

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.

Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.

GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.

NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego

Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving (ICCV, 2019)

HLS based Deep Neural Network Accelerator Library for Xilinx Ultrascale+ MPSoCs

Berkeley's Spatial Array Generator

Stretching GPU performance for GEMMs and tensor contractions.

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.

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... ...

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.