Pinned Repositories
A-Unified-Multi-Task-Semantic-Communication-System-for-Multimodal-Data
Deep learning-based task-oriented and unified multi-task semantic communications
BiFlow
Ponitnet
CompressAI
A PyTorch library and evaluation platform for end-to-end compression research
detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Dynamic_JSCC
Codes for "Deep Joint Source-Channel Coding for Wireless Image Transmission with Adaptive Rate Control", ICASSP 2022
DynMM
Code for the paper 'Dynamic Multimodal Fusion'
flownet3d
FlowNet3D: Learning Scene Flow in 3D Point Clouds (CVPR 2019)
Generative-Semantic-Communication-Diffusion-Models
Offcial PyTorch repository for the paper "Generative Semantic Communication: Diffusion Models Beyond Bit Recovery"
human_counting_csi
PointAugmenting
[CVPR2021] PointAugmenting: Cross-Modal Augmentation for 3D Object Detection
CeibaSheep's Repositories
CeibaSheep/A-Unified-Multi-Task-Semantic-Communication-System-for-Multimodal-Data
Deep learning-based task-oriented and unified multi-task semantic communications
CeibaSheep/BiFlow
Ponitnet
CeibaSheep/CompressAI
A PyTorch library and evaluation platform for end-to-end compression research
CeibaSheep/detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
CeibaSheep/Dynamic_JSCC
Codes for "Deep Joint Source-Channel Coding for Wireless Image Transmission with Adaptive Rate Control", ICASSP 2022
CeibaSheep/DynMM
Code for the paper 'Dynamic Multimodal Fusion'
CeibaSheep/flownet3d
FlowNet3D: Learning Scene Flow in 3D Point Clouds (CVPR 2019)
CeibaSheep/Generative-Semantic-Communication-Diffusion-Models
Offcial PyTorch repository for the paper "Generative Semantic Communication: Diffusion Models Beyond Bit Recovery"
CeibaSheep/human_counting_csi
CeibaSheep/PointAugmenting
[CVPR2021] PointAugmenting: Cross-Modal Augmentation for 3D Object Detection
CeibaSheep/PointINet
PointINet: Point Cloud Frame Interpolation Network
CeibaSheep/PointPainting
This repository is an open-source PointPainting package which is easy to understand, deploy and run!
CeibaSheep/Pseudo_Lidar_V2
(ICLR) Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving
CeibaSheep/RAG-Survey
Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".
CeibaSheep/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
CeibaSheep/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
CeibaSheep/SplitFed-When-Federated-Learning-Meets-Split-Learning
Releasing the source code Version1.
CeibaSheep/superpoint_graph
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
CeibaSheep/-
个人整理的《深入理解计算机系统》中文电子版（原书第 3 版）与实验材料：https://hansimov.gitbook.io/csapp/
CeibaSheep/3DMapping
Learning to map in 3D
CeibaSheep/d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被全球200所大学采用教学。
CeibaSheep/diffusion-point-cloud
:thought_balloon: Diffusion Probabilistic Models for 3D Point Cloud Generation (CVPR 2021)
CeibaSheep/DRL-stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
CeibaSheep/federated-learning
A PyTorch Implementation of Federated Learning http://doi.org/10.5281/zenodo.4321561
CeibaSheep/Harris-Hawks-Optimization-Algorithm-and-Applications
Source codes for HHO paper: Harris hawks optimization: Algorithm and applications: https://www.sciencedirect.com/science/article/pii/S0167739X18313530. In this paper, a novel population-based, nature-inspired optimization paradigm is proposed, which is called Harris Hawks Optimizer (HHO).
CeibaSheep/lihang-code
《统计学习方法》的代码实现
CeibaSheep/PaddleSeg
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.
CeibaSheep/Person_reID_baseline_pytorch
A tiny, friendly, strong pytorch implement of person re-identification baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
CeibaSheep/resume
An elegant \LaTeX\ résumé template. 大陆镜像 https://gods.coding.net/p/resume/git
CeibaSheep/superpoint_transformer
Official PyTorch implementation of Superpoint Transformer introduced in "Efficient 3D Semantic Segmentation with Superpoint Transformer"