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Tags: Machine learning
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1–21 of 21 · Most stars

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

Artificial Intelligence framework for games based on libGDX or not. Features: Steering Behaviors, Formation Motion, Pathfinding, Behavior Trees and Finite State Machines

  • libgdx
  • pathfinding
  • steering-behaviors
  • formation-motion

Vision-Language Pathology Foundation Model - Nature Medicine

  • bioimage-analysis
  • bioimage-informatics
  • conch
  • foundation-model

Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.

  • histopathology-images
  • microscopy
  • sliding-windows
  • medical-image-analysis

CellViT: Vision Transformers for Precise Cell Segmentation and Classification

  • ai
  • cell
  • digitalpathology
  • microscopy

AI-based pathology predicts origins for cancers of unknown primary - Nature

  • histology
  • pathology
  • wsi-images
  • histopathology