arthurhero's Stars
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
facebookresearch/faiss
A library for efficient similarity search and clustering of dense vectors.
microsoft/Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
facebookresearch/detr
End-to-End Object Detection with Transformers
activeloopai/deeplake
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
aim-uofa/AdelaiDet
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
sovrasov/flops-counter.pytorch
Flops counter for convolutional networks in pytorch framework
eliahuhorwitz/Academic-project-page-template
A project page template for academic papers. Demo at https://eliahuhorwitz.github.io/Academic-project-page-template/
jlblancoc/nanoflann
nanoflann: a C++11 header-only library for Nearest Neighbor (NN) search with KD-trees
hbb1/2d-gaussian-splatting
[SIGGRAPH'24] 2D Gaussian Splatting for Geometrically Accurate Radiance Fields
hollance/neural-engine
Everything we actually know about the Apple Neural Engine (ANE)
SwinTransformer/Swin-Transformer-Object-Detection
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.
daniilidis-group/neural_renderer
A PyTorch port of the Neural 3D Mesh Renderer
SHI-Labs/Neighborhood-Attention-Transformer
Neighborhood Attention Transformer, arxiv 2022 / CVPR 2023. Dilated Neighborhood Attention Transformer, arxiv 2022
google-research/deeplab2
DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.
mlfoundations/MINT-1T
MINT-1T: A one trillion token multimodal interleaved dataset.
tensorflow/deepmath
Experiments towards neural network theorem proving
mlfoundations/datacomp
DataComp: In search of the next generation of multimodal datasets
google-research-datasets/paws
This dataset contains 108,463 human-labeled and 656k noisily labeled pairs that feature the importance of modeling structure, context, and word order information for the problem of paraphrase identification.
chrischoy/pytorch-custom-cuda-tutorial
Tutorial for building a custom CUDA function for Pytorch
cocodataset/panopticapi
COCO 2018 Panoptic Segmentation Task API (Beta version)
arthurdouillard/incremental_learning.pytorch
A collection of incremental learning paper implementations including PODNet (ECCV20) and Ghost (CVPR-W21).
ashawkey/diff-gaussian-rasterization
kiryor/nnPUlearning
Non-negative Positive-Unlabeled (nnPU) and unbiased Positive-Unlabeled (uPU) learning reproductive code on MNIST and CIFAR10
SarahWeiii/diso
Differentiable Iso-Surface Extraction Package (DISO)
hbb1/diff-surfel-rasterization
A differentiable rasterizer used in the project "2D Gaussian Splatting"
jahongir7174/EfficientNetV2
EfficientNetV2 implementation using PyTorch
google-deepmind/logical-entailment-dataset
This repository contains an entailment dataset for propositional logic, and code for generating that dataset. It also contains code for parsing the dataset in python.
DensoITLab/HCFormer
Official implementation of "Clustering as Attention: Unified Image Segmentation with Hierarchical Clustering"
CSC322-Grinnell/mayflower-dining