YihengJiang's repositories
12306
12306智能刷票，订票
beamformers
Easy to use Beamformers for multi-channel speech separation/enhancement
CodeCraft-2019
huawei code craft 2019
ComparatorNetwork_pytorch
This repo implements VGG's Comparator Network [1].
deep-person-reid
Pytorch implementation of deep person re-identification models.
eesen
The official repository of the Eesen project
Face_Pytorch
face recognition algorithms in pytorch framework, including arcface, cosface, sphereface and so on
fanqiang
翻墙-科学上网
Fuck-XueXiQiangGuo
学习强国 懒人刷分工具 自动学习
insightface
Face Analysis Project on MXNet
kaldi
This is now the official location of the Kaldi project.
leetcode
it is my study code of leetcode
librosa
Python library for audio and music analysis
LLMSurvey
The official GitHub page for the survey paper "A Survey of Large Language Models".
mixup-cifar10
mixup: Beyond Empirical Risk Minimization
MNIST_center_loss_pytorch
A Pytorch implementation of center loss on MNIST
MSDNet
Multi-Scale Dense Networks for Resource Efficient Image Classification （ICLR 2018 Oral）
NetVLAD-pytorch
Pytorch implementation of NetVLAD & Online Hardest Triplet Loss.
numpy_neural_network
仅使用numpy从头开始实现神经网络,包括反向传播公式推导过程; numpy构建全连接层、卷积层、池化层、Flatten层；以及图像分类案例及精调网络案例等,持续更新中... ...
open-reid
Open source person re-identification library in python
pytorch-kaldi
pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.
senet.pytorch
PyTorch implementation of SENet
SincNet
SincNet is a neural architecture for efficiently processing raw audio samples.
Special-Project-Face-Recognition-with-Contrastive-Convolution
This repository contains the Pytorch implementation of the paper Face Recognition with Contrastive Convolution, Chunrui Han, Meina Kan, Xilin Chen published in ECCV 2018.
sppnet-pytorch
A simple Spatial Pyramid Pooling layer which could be added in CNN
thuthesis
LaTeX Thesis Template for Tsinghua University