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CellViT: Vision Transformers for Precise Cell Segmentation and Classification

  • ai
  • cell
  • digitalpathology
  • microscopy

This is a Pytorch implementation of the paper: Self-Supervised Graph Transformer on Large-Scale Molecular Data

[ECCV 2026] Official implementation of "HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models"

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

  • self-attention
  • compound-protein-interaction
  • transformercpi
  • structure-free-virtual-sreening

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.

A tool for exploring, analyzing, transforming, recombining, and extracting data from WARC (Web ARChive) files.

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.

  • bart
  • generation
  • gpt-2
  • language-model