yzyw0702

aitoolset

useful modules for operations of dataset, normalization, prediction, transfer learning etc.

alphafold_non_docker

AlphaFold2 non-docker setup

bi-att-flow

Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.

caffe

Caffe: a fast open framework for deep learning.

caffe-lstm

LSTM implementation on Caffe

convnet

A GPU implementation of Convolutional Neural Nets in C++

cpptoolset

useful toolsets for operations of string, path, matrix, memory etc. in c++

cuda-convnet2

Automatically exported from code.google.com/p/cuda-convnet2

deep-calcium

Deep Learning Models for Calcium Imaging Data

flySleepPrograms

a collection of customized tools to analyze fly activity and sleep.

yzyw0702/flySleepPrograms

a collection of customized tools to analyze fly activity and sleep.

yzyw0702/aitoolset

useful modules for operations of dataset, normalization, prediction, transfer learning etc.

yzyw0702/cpptoolset

useful toolsets for operations of string, path, matrix, memory etc. in c++

yzyw0702/deep-calcium

Deep Learning Models for Calcium Imaging Data

yzyw0702/alphafold_non_docker

AlphaFold2 non-docker setup

yzyw0702/bi-att-flow

Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.

yzyw0702/caffe

Caffe: a fast open framework for deep learning.

yzyw0702/caffe-lstm

LSTM implementation on Caffe

yzyw0702/convnet

A GPU implementation of Convolutional Neural Nets in C++

yzyw0702/cuda-convnet2

Automatically exported from code.google.com/p/cuda-convnet2

yzyw0702/helloSMC

test the Finite State Machine generated by SMC

yzyw0702/keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

yzyw0702/lintcode

practice codes for all questions with middle difficulty

yzyw0702/linuxconfigtoolset

convenient tools to configure linux server

yzyw0702/model_server

A scalable inference server for models optimized with OpenVINO™

yzyw0702/models

Models and examples built with TensorFlow

yzyw0702/models-1

Model Zoo for Intel® Architecture: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors

yzyw0702/open_model_zoo

Pre-trained Deep Learning models and demos (high quality and extremely fast)

yzyw0702/SegmentOpenvino

yzyw0702/semanticCNN

yzyw0702/ssd-jittor

yzyw0702/SSD-Tensorflow

Single Shot MultiBox Detector in TensorFlow

yzyw0702/SSD_Keras

Single Shot MultiBox Detector(SSD)目标检测算法

yzyw0702/stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

yzyw0702/vfb-annotation-tools

Automatically exported from code.google.com/p/vfb-annotation-tools