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Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js
A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine
Symbolic Music Genre Transfer with CycleGAN
DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"
NVDLA is an Open source DL/ML accelerator, which is very suitable for individuals or college students. This is the NOTES when I learn and try. Hope THIS PAGE may Helps you a bit. Contact Me:junning.wu@ia.ac.cn
implement AlexNet with C / convolutional nerual network / machine learning / computer vision
The purpose of this program is for studying. Using tensorflow trains the vgg16 and recognizes only two kinds of picture(cat and dog).
This's an implementation of deepmind Visual Interaction Networks paper using pytorch
meProp: Sparsified Back Propagation for Accelerated Deep Learning (ICML 2017)
自己实现的深度学习训练框架,纯java实现,没有过多的第三方依赖,可分布式训练
基于粒子群优化的神经网络PID控制
A tool for running deep learning algorithms for semantic segmentation with satellite imagery
Code for tutorials and examples
Tiny C++ GPT-2 inference implementation from scratch
[deprecated] A Deep Learning toolkit for iOS
"Hierarchical Reinforcement Learning for Integrated Recommendation" (AAAI 2021) https://ojs.aaai.org/index.php/AAAI/article/view/16580
An Non-Intrusive Load Disaggregation method based on Neural Network. A sequence-to-sequence model and a sequence-to-point model are proposed.
Deep Neural Network Ensembles for Extreme Classification
机器学习算法实现及实战