Pinned Repositories
blog
Personal Blog using Pelican
caffe
Caffe: a fast open framework for deep learning.
caffe_receptive_field
Calculating the receptive field of each layer of Caffe network
CVdevKit
PyTorch Computer Vision Foundation
Detectron.pytorch
A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
Meta-Learning-Papers
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
NAS
Neural architecture search(NAS)
RandWireNN
Pytorch Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"
SyncBN-SN
Forward-backward mathematical derivation of sync bn and sn
Switchable-Normalization
Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10779
JiaminRen's Repositories
JiaminRen/RandWireNN
Pytorch Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"
JiaminRen/CVdevKit
PyTorch Computer Vision Foundation
JiaminRen/Meta-Learning-Papers
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
JiaminRen/SyncBN-SN
Forward-backward mathematical derivation of sync bn and sn
JiaminRen/caffe_receptive_field
Calculating the receptive field of each layer of Caffe network
JiaminRen/NAS
Neural architecture search(NAS)
JiaminRen/blog
Personal Blog using Pelican
JiaminRen/caffe
Caffe: a fast open framework for deep learning.
JiaminRen/Detectron.pytorch
A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
JiaminRen/gloo
Collective communications library with various primitives for multi-machine training.
JiaminRen/insightface
Face Recognition Project on MXNet
JiaminRen/JiaminRen.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
JiaminRen/MobileNet-Caffe
Caffe Implementation of Google's MobileNets (v1 and v2)
JiaminRen/nnDetection
nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.
JiaminRen/tensorpack
A Neural Net Training Interface on TensorFlow