ssjatmhmy Goto Github PK

agares

A back testing tool for Chinese stock market

atss-efficientdet-pytorch

ATSS-EfficientDet implemented in PyTorch, outperforming the original EfficientDet. Weights are released.

bgess

caffe-mobilenet

A caffe implementation of mobilenet's depthwise convolution layer.

caffe-recon-dec

Caffe for "Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification"

carn-pytorch

Official implementation of Efficient Cascading Residual Network for SR

cnn_rc_theano

CNN for relation classification on semeval dataset, based on theano

deblurgan-tf

Tensorflow (tf) implementation of DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks

deep-high-resolution-net.pytorch

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

diracdeltanet

PyTorch implementation of DiracDeltaNet from paper Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on Embedded FPGAs

dped

Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks

home_depot

My solution for Kaggle 'Home Depot Product Search Relevance' competition

mobilenet-caffe

Caffe Implementation of Google's MobileNets

onnx2caffe

pytorch to caffe by onnx

pycococreator

Helper functions to create COCO datasets

pytorch-deform-conv-v2

PyTorch implementation of Deformable ConvNets v2 (Modulated Deformable Convolution)

pytorch-resnet

ResNet training script in PyTorch

pytorch-resnet-ssd

Single Shot MultiBox Detector in PyTorch, with ResNet being the base network

resnet-18-caffemodel-on-imagenet

ResNet-18 Caffemodel @ilsvrc12 shrt 256 with Top-1 69% Top-5 89%

rfbnet

Receptive Field Block Net for Accurate and Fast Object Detection, ECCV 2018

s_xgboost

Stand-alone version of xgboost. I sort out this code from dmlc/xgboost just for code reading and learning.

siamfc-pytorch

A clean PyTorch implementation of SiamFC tracking/training, evaluated on 7 datasets.

srmd-pytorch

A PyTorch Implementation of "Learning a Single Convolutional Super-Resolution Network for Multiple Degradations"

srn-deblur

Repository for Scale-recurrent Network for Deep Image Deblurring

ssd.pytorch

A PyTorch Implementation of Single Shot MultiBox Detector

ssds.pytorch

Repository for Single Shot MultiBox Detector and its variants, implemented with pytorch, python3.

stm-training

training script for space time memory network

stronger-yolo

Improve yolo with latest paper

tenet

Official Pytorch Implementation for Trinity of Pixel Enhancement: a Joint Solution for Demosaicing, Denoising and Super-Resolution

tensorflow-for-stock-prediction

Use Tensorflow to run CNN for predict stock movement. Hope to find out which pattern will follow the price rising.