xxdm's repositories
LSTM-and-ARIMA-Models-for-Stock-Forecasting
A hybrid forecasting model combining LSTM for sequence prediction and ARIMA for error correction. This repo demonstrates improved accuracy in financial trend prediction, showcasing training processes, error analysis, and performance metrics.
Visual-Regression-Tracker
Backend and Frontend application for tracking differences via image comparison
MARLlib
One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)
decision-transformer
Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.
ncnn
ncnn is a high-performance neural network inference framework optimized for the mobile platform
DesignPattern
Design pattern demo code
Aistudio_Steel-Inspection-Challenge
飞桨新人赛：钢铁缺陷检测挑战赛-第6名方案
CppTemplateTutorial
中文的C++ Template的教学指南。与知名书籍C++ Templates不同，该系列教程将C++ Templates作为一门图灵完备的语言来讲授，以求帮助读者对Meta-Programming融会贯通。(正在施工中)
introduce_c-cpp_manual
一个收集C/C++新手学习的入门项目，整理收纳开发者开源的小项目、工具、框架、游戏等，视频，书籍，面试题/算法题，技术文章。
yolov5-opencv-dnn-cpp
使用opencv模块部署yolov5-6.0版本
siamese-triplet
Siamese and triplet networks with online pair/triplet mining in PyTorch
CPP-Templates-2nd--
《C++ Templates 第二版》中文翻译，和原书排版一致，第一部分（1至11章）以及第18，19，20，21、22、23、24、25章已完成，其余内容逐步更新中。 个人爱好，发现错误请指正
yolov5
YOLOv5 in PyTorch > ONNX > CoreML > TFLite
gitignore
A collection of useful .gitignore templates
Supermariobros-PPO-pytorch
rl on super-mario-bros
learnGit2
lean how to connect to gitHub
deep-learning-from-scratch
深度学习入门-基于Python的理论与实现》，包含源代码和高清PDF(带书签)；慕课网imooc《深度学习之神经网络(CNN-RNN-GAN)算法原理-实战》
IMDN
Lightweight Image Super-Resolution with Information Multi-distillation Network (ACM MM 2019, ICCVW AIM 2019)
PaddleX
PaddlePaddle Entire Process Development Toolkit（『飞桨』深度学习全流程开发工具）
DCGAN_WGAN_WGAN-GP_LSGAN_SNGAN_RSGAN_BEGAN_ACGAN_PGGAN_TensorFlow
Implementation of some different variants of GANs by tensorflow, Train the GAN in Google Cloud Colab, DCGAN, WGAN, WGAN-GP, LSGAN, SNGAN, RSGAN, RaSGAN, BEGAN, ACGAN, PGGAN, pix2pix, BigGAN
d2l-pytorch
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
lihang-code
《统计学习方法》的代码实现
100-Days-Of-ML-Code
100-Days-Of-ML-Code中文版
GCN-Anomaly-Detection
Source codes of our paper in CVPR 2019: Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection
caffe
Caffe: a fast open framework for deep learning.