Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js
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Updated
Dec 5, 2022 - JavaScript
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
每日一题(涉及但不仅限于机器学习、深度学习和计算机视觉等方向)
The purpose of this program is for studying. Using tensorflow trains the vgg16 and recognizes only two kinds of picture(cat and dog).
implement AlexNet with C / convolutional nerual network / machine learning / computer vision
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
A tool for running deep learning algorithms for semantic segmentation with satellite imagery
基于粒子群优化的神经网络PID控制
Code for tutorials and examples
[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.
机器学习算法实现及实战
Deep Neural Network Ensembles for Extreme Classification
Tiny C++11 GPT-2 inference implementation from scratch
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