黑马程序员最新Java项目实战《苍穹外卖》，最适合新手的SpringBoot+SSM企业级项目实战 相比于瑞吉外卖苍穹外卖的业务更加真实完整，用户端改为微信小程序，登录改为了微信登录，加入了统计报表，来单提醒，客户催单，订单管理等功能，业务实现了闭环。技术选型更加丰富和实用。可以认为是增强版瑞吉外卖

一套简洁但优雅的 HTML 博客模板

🔥LeetCode solutions in any programming language | 多种编程语言实现 LeetCode、《剑指 Offer（第 2 版）》、《程序员面试金典（第 6 版）》题解

Joint Source Channel Coding of Images With Feedback

Spring Framework

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

[VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.

Time-Series Anomaly Detection Comprehensive Benchmark

Official implementation of CVPR'24 paper 'Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Prompts'.

Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。

Advances on machine learning of graphs, covering the reading list of recent top academic conferences.

Model parallel transformers in JAX and Haiku

XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

Simulated the scenario between edge servers and users with a clear graphic interface. Also, implemented the continuous control with Deep Deterministic Policy Gradient (DDPG) to determine the resour…

https://hrl.boyuai.com/

Deep Reinforcement Learning

Command-line program to download videos from YouTube.com and other video sites

Code for "World Model as a Graph: Learning Latent Landmarks for Planning" (ICML 2021 Long Presentation)

A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.

Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"

A multi-layer guided reinforcement learning-based tasks offloading in edge computing - Simulations

Modularized Implementation of Deep RL Algorithms in PyTorch

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

tensorflow实战练习，包括强化学习、推荐系统、nlp等