CellViT: Vision Transformers for Precise Cell Segmentation and Classification
- ai
- cell
- digitalpathology
- microscopy
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CellViT: Vision Transformers for Precise Cell Segmentation and Classification
This is a Pytorch implementation of the paper: Self-Supervised Graph Transformer on Large-Scale Molecular Data
The data transformation tool the open-source community deserves.
Extract knowledge from all information sources using gpt and other language models. Index and make Q&A session with information sources.
[ECCV 2026] Official implementation of "HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models"
[DEPRECATED] Self-Supervised Extrinsic Calibration using 3D Spatial Transformer Networks
零基础入门大模型(LLM)的基础教程:从零手写 GPT-2,一行行看懂大模型是怎么工作的 | Build GPT-2 from scratch in PyTorch, step by step
TransformerCPI: Improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments(BIOINFORMATICS 2020) https://doi.org/10.1093/bioinformatics/btaa524
Official implementation of "AReA: Adaptive Receptive-Field Attention for Efficient High-Resolution Diffusion Transformers"
Non Stationary Gabor Transform (NSGT), Python implementation
Python package implementing ML feature engineering and pre-processing for polars or pandas dataframes.
Transformer-SRU LiDAR navigation for Unitree G1: Isaac Lab training, MuJoCo validation, and ROS 2 deployment.
Fast Fourier transform in MicroPython's inline ARM Thumb V7 assembler (STM32, RP2350 etc.).
A set of Maltego transforms for VirusTotal Public API v2.0. This set has the added functionality of caching queries on a daily basis to speed up resolutions.
Spatial Transformer Nets in TensorFlow/ TensorLayer
A tool for exploring, analyzing, transforming, recombining, and extracting data from WARC (Web ARChive) files.
Universal 1d/2d data containers with Transformers functionality for data analysis.
Plan and train German transformer models.
Transform Git history: rewrite, clean, and optimize your repositories with ease.
🕹 Responsive post-processing for #pico8 web player
Code and data for the paper "Evaluating German Transformer Language Models with Syntactic Agreement Tests" (Zaczynska et al., 2020)
A minimalistic codebase for training NLG models from HuggingFace Transformers using PyTorch Lightning.