ffn

Flood-Filling Networks for instance segmentation in 3d volumes.

A python algorithm for tracking cells in 3D deforming organs

[NLPCC 2022] Kformer: Knowledge Injection in Transformer Feed-Forward Layers

Program for handling FFN, PFN, XFN, MFN and SFN fonts from EA games

Simple FFNN using C++

A dual-zone memory architecture with hard-threshold triggered Hebbian update on FFN layers for continual learning in Transformers.

Feed Forward Neural Network (FFN) from Scratch. In pure Python and NumPy. One derivative at a time.

使用 C++ 实现完整 Transformer 训练实现中英文翻译的模型，蒸馏，微调模型、LORA、RAG、向量数据库等等

A from-scratch implementation of a high-performance, decoder-only Transformer language model, built on top of the custom Phoenix Engine framework.

A systematic study of ultra-tiny language models

basically a transformer attending to game info

A series of experiments focused on building and evaluating deep learning models using TensorFlow

COMP 4107 - Neural Networks - Assignment 2

PyTorch implementation of EfficientNet for response prediction

Implementing a fully connected neural network from scratch: matrix math, backpropagation, gradient descent, and MNIST digit recognition without deep learning frameworks.

Projects using PyTorch for Machine Learning.

Offical implementation for Spectral Scaling Laws (EMNLP 2025)

Quantum Multi-Head Transformer (Multi-Head QSAN + kvantni FFN). SWAP test. Egzaktni Statevector. Kvantni FFN.

VSA-keyed memory layers for transformer FFN replacement — structured codebook keys via FHRR bind