Pinned Repositories
PythonDescription
AgriITSC
Prototype-based method for agricultural image time series classification.
algforopt-notebooks
Jupyter notebooks associated with the Algorithms for Optimization textbook
all-of-statistics
Self-study on Larry Wasserman's "All of Statistics"
book-ml-sem
《机器学习：软件工程方法与实现》Method and implementation of machine learning software engineering
BT-Unet
BT-Unet: A self-supervised learning framework
ChangeDetectionRepository
This repository contains some python code of some traditional change detection methods or provides their original websites, such as SFA, MAD, and some deep learning-based change detection methods, such as SiamCRNN, DSFA, and some FCN-based methods.
cv-models
Computer Vision Models
generative-models
Some demo codes for generative models using pytorch!
RS-GIS-related
tianjiu233's Repositories
tianjiu233/cv-models
Computer Vision Models
tianjiu233/AgriITSC
Prototype-based method for agricultural image time series classification.
tianjiu233/CACo
official code for CVPR 2023 paper 'Change-Aware Sampling and Contrastive Learning for Satellite Images'
tianjiu233/datasets
Datasets for deep learning with satellite & aerial imagery
tianjiu233/DeCUR
DeCUR: decoupling common & unique representations for multimodal self-supervision.
tianjiu233/elects
tianjiu233/FeatUp
Official code for "FeatUp: A Model-Agnostic Frameworkfor Features at Any Resolution" ICLR 2024
tianjiu233/graph_algorithm
tianjiu233/GraSS
tianjiu233/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
tianjiu233/mamba-minimal
Simple, minimal implementation of the Mamba SSM in one file of PyTorch.
tianjiu233/micrograd
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
tianjiu233/minimind
【大模型】3小时完全从0训练一个仅有26M的小参数GPT，最低仅需2G显卡即可推理训练！
tianjiu233/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
tianjiu233/offical-IndexNet
This is the official implementation of the IndexNet.
tianjiu233/PatchTST
An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." https://arxiv.org/abs/2211.14730
tianjiu233/PiPa
Official Implementation of PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation
tianjiu233/Python-100-Days
Python - 100天从新手到大师
tianjiu233/random_quantize
a novel data augmentation method across data modalities
tianjiu233/Renewable-energy-generation-input-feature-variables-analysis
tianjiu233/ROBOT
Code release for ROBOT (a ROBust and OpTimization-based spatiotemporal data fusion model)
tianjiu233/SAR-lab
tianjiu233/SARDet_100K
Offical implementation of MSFA and release of SARDet_100K dataset for Large-Scale Synthetic Aperture Radar (SAR) Object Detection
tianjiu233/satellite-imagery-labeling-tool
This is a lightweight web-interface for creating and sharing vector annotations over satellite/aerial imagery scenes.
tianjiu233/SatMAE
Official code repository for NeurIPS 2022 paper "SatMAE: Pretraining Transformers for Temporal and Multi-Spectral Satellite Imagery"
tianjiu233/smalldiffusion
Simple and readable code for training and sampling from diffusion models
tianjiu233/SparK
[ICLR'23 Spotlight] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling"
tianjiu233/STEdge
Code for the TNNLS 2023 paper "STEdge: Self-training Edge Detection with Multi-layer Teaching and Regularization".
tianjiu233/Swin-MAE
Pytorch implementation of Swin MAE https://arxiv.org/abs/2212.13805
tianjiu233/transtab
NeurIPS'22 | TransTab: Learning Transferable Tabular Transformers Across Tables