- Trondheim
-
01:21
(UTC -12:00) - www.taheera.no
- in/taheera-ahmed-997750158
- https://www.tiktok.com/@taheera.py
Highlights
- Pro
Stars
Simple tool for converting WSIs from cellSens VSI to pyramidal TIFF
MinIO is a high-performance, S3 compatible object store, open sourced under GNU AGPLv3 license.
MegaDetector is an AI model that helps conservation folks spend less time doing boring things with camera trap images.
PyTorch Wildlife: a Collaborative Deep Learning Framework for Conservation.
Website application for checking prices on explicit and affixes specific items in Path of Exile
📳 IronFlow: Cross-platform mobile app for strength training progress tracking
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
🎯 Accumulated Gradients for TensorFlow 2
The original sources of MS-DOS 1.25, 2.0, and 4.0 for reference purposes
Model interpretability and understanding for PyTorch
🔥 Demonstrating Explainable AI with Vision Transformer in web app
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
[MICCAI 2022] Dual-Distribution Discrepancy for Anomaly Detection in Chest X-Rays
Unsupervised Anomaly Detection in Medical Images Using Masked Diffusion Model
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Track and predict the energy consumption and carbon footprint of training deep learning models.
Code for ISBI 2023 paper "Self Pre-training with Masked Autoencoders for Medical Image Classification and Segmentation"
The official implementation of "Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification"
Track emissions from Compute and recommend ways to reduce their impact on the environment.
Code for the paper https://arxiv.org/abs/2003.00827
Displays current song's cover art on 32x32 or 64x64 led matrix