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Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)
This is the HoG feature extraction codes by pure numpy
A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
[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"
Official PyTorch implementation of training vision transformers with only 2040 images.
An open source implementation of CLIP.
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
Source code accompanying O'Reilly book: Machine Learning Design Patterns
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
Official implementation of Character Region Awareness for Text Detection (CRAFT)
A pure pytorch implemented ocr project including text detection and recognition
Official Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"
Pytorch framework for doing deep learning on point clouds.
[ NeurIPS2021] This is an official implementation of our paper "HRFormer: High-Resolution Transformer for Dense Prediction".
T-Rex NVIDIA GPU miner with web control monitoring page
Auto-encoding & Generating 3D Point-Clouds.
Download Ethereum Miner (Updated 2020)
Vector Neurons: A General Framework for SO(3)-Equivariant Networks
Implementation of the paper "Multi-view PointNet for 3D Scene Understanding"
Deep Hough Voting for 3D Object Detection in Point Clouds
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud, CVPR 2019.
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.