Topic: timm Goto Github
Some thing interesting about timm
Some thing interesting about timm
timm,Sudoku Analysis Software
User: a5chin
Home Page: https://qiita.com/a5chin/items/6d35283a54a1022f9b24
timm,Jax/Flax implementation of DeiT and DeiT-III
User: affjljoo3581
timm,🥈12th place solution on G2Net Detecting Continuous Gravitational Waves🥈
User: affjljoo3581
Home Page: https://www.kaggle.com/competitions/g2net-detecting-continuous-gravitational-waves/leaderboard?
timm,Holds code for our CVPR'23 tutorial: All Things ViTs: Understanding and Interpreting Attention in Vision.
Organization: all-things-vits
Home Page: https://all-things-vits.github.io/atv
timm, Engage in a semantic segmentation challenge for land cover description using multimodal remote sensing earth observation data, delving into real-world scenarios with a dataset comprising 70,000+ aerial imagery patches and 50,000 Sentinel-2 satellite acquisitions.
Organization: association-rosia
Home Page: https://codalab.lisn.upsaclay.fr/competitions/13447
timm,The repository contains supplementary material to my Master's thesis - Fine-grained Visual Recognition with Side Information
User: chamidullinr
timm,Benchmarks for popular neural network models supported by timm
User: developer0hye
timm,Low-code machine learning and deep learning
User: etetteh
timm,We convert timm (Pytorch Image Models) models to .onnx and check their performance in browser using ONNX Runtime Web (ort-web). So you can find the suitable model for your JavaScript web-app according to your needs.
User: ffletcherr
timm,building a multitask training platform based on Pytorch
User: gaoshanwen
timm,PyTorch Lightning + Hydra. + Timm: A very user-friendly template for rapid and reproducible MLOps with best practices. ⚡🔥⚡
User: gokul-pv
timm,The AI framework for software engineers
Organization: grandmasterai
Home Page: https://grandmaster.ai
timm,Clean, reproducible, boilerplate-free deep learning project template.
Organization: groomata
Home Page: https://groomata.com
timm,Develope a robust and high-performance model utilizing computer vision techniques to classify images as either fraudulent or non-fraudulent within the context of insurance claims
User: hariprasath-v
timm,A framework to accelerate AI/ML development :rocket:
User: iamgianluca
timm,A simple wrapper library for binding timm models as detectron2 backbones
User: ikrishneel
timm,💡💡💡awesome compute vision app in gradio
User: islinxu
timm,A library that includes Keras3 layers, blocks and models with pretrained weights, providing support for transfer learning, feature extraction, and more.
User: james77777778
timm,Auto torch image models: train and evaluation
User: jianzhnie
timm,Jittor Image Models is a library for pulling together a wide variety of SOTA deep learning models in the Jittor framework.
User: jittor-image-models
timm,Simple image classification for custom dataset (pytorch-lightning, timm)
User: karasawatakumi
timm,This repository is the implementation of the paper: ViT2 - Pre-training Vision Transformers for Visual Times Series Forecasting. ViT2 is a framework designed to address generalization & transfer learning limitations of Time-Series-based forecasting models by encoding the time-series to images using GAF and a modified ViT architecture.
User: kochlisgit
timm,Classification models with pretrained backbones. PyTorch. Easy to use baseline to train your models
User: licksylick
timm,A PyTorch-based Python library with UNet architecture and multiple backbones for Image Semantic Segmentation.
User: mberkay0
timm,Simple Implementation of Pix2Seq model for object detection in PyTorch
User: moein-shariatnia
timm,A general deep learning project that can be easily transferred to other specific tasks.
User: mouxiaohuang
timm,【Demo】基于CNN实现对摄像头捕捉的人脸进行性别和年龄的预测【于2023.10.10更新】
User: nice-future
Home Page: https://hxhen.com/archives/615
timm,Implementation of ViT with PyTorch
User: nicholas-dinicola
timm,PetFinder.my - Pawpularity Contest 13/3537 solution
User: oasidorshin
Home Page: https://www.kaggle.com/competitions/petfinder-pawpularity-score/discussion/300969
timm,Encoder-Decoder Cell and Nuclei segmentation models
User: okunator
Home Page: https://github.com/okunator/cellseg_models.pytorch
timm,An easy classification implement to explain how triton work
User: pd-mera
timm,Main repo for the project containing the source, sagemaker pipelines, dockers and documentations
Organization: project-kidu
Home Page: https://project-kidu-frontend-streamlit-app-gdinr3.streamlit.app/
timm,Attribution methods that explain image classification models, implemented in PyTorch, and support batch input and GPU.
User: riverback
timm,Streamlit app that performs binary and multiclass classification of gravitational lensing images along with dark matter halo mass prediction.
User: rprkh
timm,Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models
Organization: sail-sg
timm,Implementation of Barlow Twins: Self-Supervised Learning via Redundancy Reduction with `timm` integration
User: spencerbraun
timm,benchmark pytorch models
User: syjeon121
timm,This is a classification model and a post-processing method of any object detection model for false positive elimination.
User: taylanates24
timm,This project offers an easy, flexible, modular PyTorch implementation for semantic segmentation to minimize configuration, automate training and deployment, and enable customization of models, encoders, losses and datasets through its modular design.
User: tsathya98
timm,Extract video features from raw videos using multiple GPUs. We support RAFT flow frames as well as S3D, I3D, R(2+1)D, VGGish, CLIP, ResNet features.
User: v-iashin
Home Page: https://v-iashin.github.io/video_features
timm,UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery, ISPRS. Also, including other vision transformers and CNNs for satellite, aerial image and UAV image segmentation.
User: wanglibo1995
timm,Deep learning based color transfer between images.
User: wp-zhang
Home Page: https://wp-zhang.github.io/Deep-Color-Transfer/
timm,HAT (Hard Attention to the Task) Modules for Continual Learning
User: xduan7
timm,Multi-label classification based on timm.
User: yang-ruixin
timm,Multi-label classification based on timm, and add SimCLR to timm.
User: yang-ruixin
timm,Image search engine
User: yeonwoosung
timm,usefull toy projects
User: yester31
timm,PyTorch Volume Models for 3D data
User: zfturbo
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