luzhoushili Goto Github PK

accelerating-cnn-with-fpga

This project accelerates CNN computation with the help of FPGA, for more than 50x speed-up compared with CPU.

ai_project

autoaugment

Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow

autoformer

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

awesome-capsule-networks

A curated list of awesome resources related to capsule networks

awesome-java

A curated list of awesome frameworks, libraries and software for the Java programming language.

awesome-of-time-series-augmentation

A curated list of time series augmentation resources.

bottleneck-transformer-pytorch

Implementation of Bottleneck Transformer in Pytorch

clsa

official implemntation for "Contrastive Learning with Stronger Augmentations"

cnn-layer-reuse

PyTorch Implementation of "Convolutional Neural Networks with Layer Reuse", codes and pretrained models.

codeforces-go

算法竞赛模板库 by 灵茶山艾府 💭💡🎈

contrastive-predictive-coding-pytorch

Contrastive Predictive Coding for Automatic Speaker Verification

cpc_pytorch

Code for training and evaluating contrastive predictive coding models, implemented using PyTorch.

dataset-bci-competition-iv-set1

This code is for classifying spectrogram images of Motor Movement/Imagery tasks using a Convolutional Neural Network (CNN) and Generative Adversarial Network (GAN) for data augmentation..

db-router-starter

deep-learning-with-pytorch-tutorials

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

deeplearning

My deeplearning notes

deeplearning_code

深度学习算法实践配套代码

deeplearningnotes

This is my notes about deeplearning

dl-4-tsc

Deep Learning for Time Series Classification

eqtransformermy

EQTransformer, a python package for earthquake signal detection and phase picking using AI.

fast-autoaug-torch

fourier-neural-operator

handwrittenspringframework

This project hand-writes the Spring framework and implements a Spring from 0

how-to-use-transformers

Transformers 库快速入门教程

icde2020_gmvsae_fork

行人异常轨迹检测的代码

image_segmentation

Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

infots

Time Series Contrastive Learning with Information-Aware Augmentations (Code)

involution

[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator

leetcode

Save my Leecode Codes