Pinned Repositories
ActivityNet
This repository is intended to host tools and demos for ActivityNet
Ad-papers
Papers on Computational Advertising
AdversarialNetsPapers
Awesome paper list with code about generative adversarial nets
ai-resources
Selection of resources to learn Artificial Intelligence / Machine Learning / Statistical Inference / Deep Learning / Reinforcement Learning
algorithm-pattern
算法模板，最科学的刷题方式，最快速的刷题路径，你值得拥有~
An-Introduction-to-Statistical-Learning
This repository contains the exercises and its solution contained in the book An Introduction to Statistical Learning in python.
awesome-automl-papers
A curated list of automated machine learning papers, articles, tutorials, slides and projects
Awesome_Prompting_Papers_in_Computer_Vision
A curated list of prompt-based paper in computer vision and vision-language learning.
deep_gcns_torch
Pytorch Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://www.deepgcns.org
DeepClustering
Methods and Implements of Deep Clustering
KeepHappy-365's Repositories
KeepHappy-365/Awesome_Prompting_Papers_in_Computer_Vision
A curated list of prompt-based paper in computer vision and vision-language learning.
KeepHappy-365/DeepClustering
Methods and Implements of Deep Clustering
KeepHappy-365/AdversarialNetsPapers
Awesome paper list with code about generative adversarial nets
KeepHappy-365/awesome-awesome-machine-learning
A curated list of awesome lists across all machine learning topics. | 机器学习/深度学习/人工智能一切主题 (学习范式/任务/应用/模型/道德/交叉学科/数据集/框架/教程) 的资源列表汇总。
KeepHappy-365/awesome-efficient-gnn
Efficient Graph Neural Networks - a curated list of papers and projects
KeepHappy-365/Awesome-LLM
This project collects awesome resources (e.g., papers, open-source models) for large language model (LLM)
KeepHappy-365/Awesome_Graph_Foundation_Models
Accompanied repositories for our paper Graph foundation model
KeepHappy-365/Book-Mathmatical-Foundation-of-Reinforcement-Learning
This is the homepage of a new book entitled "Mathmatical Foundation of Reinforcement Learning."
KeepHappy-365/cskaoyan
提供计算机考研和软件工程考研专业的各个学校 考研真题
KeepHappy-365/cyd-selected-journal
KeepHappy-365/DeepLearning
KeepHappy-365/Efficient-AI-Backbones
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
KeepHappy-365/External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
KeepHappy-365/image-processing-from-scratch
This project contains some interesting image processing algorithms that were wrote in python and c++ from scratch.
KeepHappy-365/kinetics-dataset
KeepHappy-365/libpku
贵校课程资料民间整理
KeepHappy-365/OpenPrompt
An Open-Source Framework for Prompt-Learning.
KeepHappy-365/PaddleClas
A treasure chest for visual recognition powered by PaddlePaddle
KeepHappy-365/project-based-learning
Curated list of project-based tutorials
KeepHappy-365/PromptPapers
Must-read papers on prompt-based tuning for pre-trained language models.
KeepHappy-365/pyGAT-GraphAttentionNetworks-
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
KeepHappy-365/PyTorch-Spiking-YOLOv3
A PyTorch implementation of Spiking-YOLOv3. Two branches are provided, based on two common PyTorch implementation of YOLOv3(ultralytics/yolov3 & eriklindernoren/PyTorch-YOLOv3), with support for Spiking-YOLOv3-Tiny at present.
KeepHappy-365/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
KeepHappy-365/Spiking-Neural-Network
Pure python implementation of SNN
KeepHappy-365/tabby
A terminal for a more modern age
KeepHappy-365/TJU_zihao_course
同济子豪兄的公开课
KeepHappy-365/Transformer-in-Remote-Sensing
KeepHappy-365/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
KeepHappy-365/VisualDL
Deep Learning Visualization Toolkit（『飞桨』深度学习可视化工具 ）
KeepHappy-365/WZU-machine-learning-course
温州大学《机器学习》课程资料（代码、课件等）