AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

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

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

Go package for computer vision using OpenCV 4 and beyond.

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.

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

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

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

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

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

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

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

RMDL: Random Multimodel Deep Learning for Classification

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... ...

Tutorial for computer vision and machine learning in PHP 7/8 by opencv (installation + examples + documentation)

Optimized (for size and speed) Caffe lib for iOS and Android with out-of-the-box demo APP.

Neural network-based singing voice synthesis library for research

An Open Source Modular Framework From Face to FACS Based Avatar Animation (Unity3D / Blender)

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

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.

php wrapper for opencv

LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks

Deep-Learning based CTR models implemented by PyTorch

코딩셰프의 3분 딥러닝, 케라스맛

MONeT framework for reducing memory consumption of DNN training

machine learning algorithm

Push-pull streaming and Web display of YOLO series

ttslearn: Library for Pythonで学ぶ音声合成 (Text-to-speech with Python)

An Open Source Deep Learning Inference Engine Based on FPGA