Alessiacosmos's Stars
CuiRuikai/Partial2Complete
[ICCV 2023] P2C: Self-Supervised Point Cloud Completion from Single Partial Clouds
sicara/easy-few-shot-learning
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
venkanna37/Label-Pixels
Label-Pixels is the tool for semantic segmentation of remote sensing images using Fully Convolutional Networks. Initially, it is designed for extracting the road network from remote sensing imagery and now, it can be used to extract different features from remote sensing imagery.
sunjiahao1999/SPFormer
OloOcki/awesome-citygml
The ultimate list of open data semantic 3D city models
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
lucidrains/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Tony-Y/pytorch_warmup
Learning Rate Warmup in PyTorch
DylanWusee/pointconv_pytorch
pytorch version of PointConv
thuml/Transfer-Learning-Library
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
OloOcki/tum-facade
The dataset
meta-llama/codellama
Inference code for CodeLlama models
opengeos/segment-geospatial
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
CGAL/cgal
The public CGAL repository, see the README below
gjkoplik/topology-demos
explanation / demos of topology concepts
geomdata/gda-public
The open-source toolbox of easy-to-use topological data analysis tools, developed by GDA.
spgriffin/polis
python implementation of the PoLiS metric for comparing building footprints
UX-Decoder/Segment-Everything-Everywhere-All-At-Once
[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"
langchain-ai/langchain
🦜🔗 Build context-aware reasoning applications
facebookresearch/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Sjyhne/MapAI-Competition
Li-Li-Whu/Point2Roof
manthrax/THREE-CSGMesh
Conversion of a CSG library for use with modern THREE.js
boldreader/chrome-extension
joeat1/GNN_note
图神经网络整理
bellockk/alphashape
Toolbox for constructing alpha shapes.
vdumoulin/conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
lars76/kmeans-anchor-boxes
k-means clustering with the Intersection over Union (IoU) metric as described in the YOLO9000 paper
ahh666/vue-node-mysql
【全栈初体验】Vue+Node+MySQL 实现前后端分离开发