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ncnn is a high-performance neural network inference framework optimized for the mobile platform
LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source …
StarCraft II Client - protocol definitions used to communicate with StarCraft II.
🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.
A Temporal 3D DNN for action recognition in videos
train C3D with keras for action recognition
A curated list of action recognition and related area resources
Medical Named Entity Recognition implement using bi-directional lstm and crf model with char embedding.CCKS2017中文电子病例命名实体识别项目,主要实现使用了基于字向量的四层双向LSTM与CRF模型的网络.该项目提供了原始训练数据样本(一般醒目,出院情况,病史情况,病史特点,诊疗经过)…
Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning
3D Convolutional neural network for medical image segmentation
Context Aware Medical Image Super-Resolution Using Convolution Neural Networks
Implement and Compare VGG, ResNet and ResNeXt on CIFAR-10
Feature Pyramid Network with ResNext implemented in Keras
Classification models trained on ImageNet. Keras.
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Code for 10.1021/acscentsci.7b00572, now running on Keras 2.0 and Tensorflow
Implementation of the paper - Generative Recurrent Networks for De Novo Drug Design.
Binding site prediction on Efflux protein using CNN
Improvement and Implementation of Paper 'Identification of ATP binding residues of a protein from its primary sequence'
Protein function prediction using a variational autoencoder
UCSF BMI219 Deep Learning (2017), Coding example (Prediction of protein folding with RNN and CNN)
Protein order and disorder data for Keras, Tensor Flow and Edward frameworks with automated update cycle made for continuous learning applications.
End-to-End learning framework for circular RNA classification from other long non-coding RNA using multimodal deep learning