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allRank is a framework for training learning-to-rank neural models based on PyTorch.

  • learning-to-rank
  • ndcg
  • ranking
  • information-retrieval

Rich-powered CLI that breaks each HTTP request into DNS, connect, TLS, wait, and transfer phases with waterfall timelines, compact summaries, or metrics-only output.

DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome

  • kmer
  • dnabert-model
  • kmer-format
  • gpu

A computer, compiled into the weights of a language model. An exact CPU inside Qwen3.5-4B, with Gated DeltaNet state as RAM.

  • gated-deltanet
  • interpretability
  • llm
  • qwen

Linux service to collect and transfer Xiaomi Mi Flora plant sensor data via MQTT to your smart home system, with cluster support 🌱🌼🥀🏡🌳

  • xiaomi
  • xiaomi-smart-home
  • miflora
  • python3

pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci

  • coordinate-conversion
  • coordinate-transformation
  • geodesy

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"

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