Implementation of GPT from scratch. Design to be lightweight and easy to modify.
[IJCV 2024] P3Former: Position-Guided Point Cloud Panoptic Segmentation Transformer
Complete code for the proposed CNN-Transformer model for natural language understanding.
Symbolic music generation taking inspiration from NLP and human composition process
This notebook shows a basic implementation of a transformer (decoder) architecture for image generation in TensorFlow 2.
Magic The GPT - GPT inspired model to generate Magic the Gathering cards
GPT (Decoder only Transformer - from scratch) generated fake/phoney taxonomies (based on NCBI taxonomy dataset)
Official Pytorch Implementation of: "Enhancing High-Vocabulary Image Annotation with a Novel Attention-Based Pooling"
The goal of this project was to implement the encoder only transformer in order to recreate a mini version of GPT.
Fully vectorized Transformer decoder implemented from scratch in NumPy with causal masking, autoregressive training, and empirical O(n²) complexity analysis.
In this we explore detailed architecture of Transformer
Minimal encoder for text classification, decoder for text generation, ViT for image classification
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