Lists (9)
Stars
tiny Jev-like family of decision models built on top of Qwen3.5 you can train and run on your own
Unified Schema-Based Information Extraction
Non-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that picks the right checkpoint per re…
NPC-Forge is a framework for building conversational agents that run on the CPU without relying on machine learning or LLMs.
A modular, multi-node ESP32 anti-tracking decoy swarm. summon the crowd, bury the signal.
A spaCy wrapper of Entity-Fishing (component) for named entity disambiguation and linking on Wikidata
In this project, I used Hebbian, Perceptron and Adaline neural networks to implement AND gate, and OR gate.
Pytorch implementation of Hebbian learning algorithms to train deep convolutional neural networks.
A lightweight and flexible framework for Hebbian learning in PyTorch.
Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686
👋 Motion detection using the doppler effect
PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.
Minimal RNN classifier with self-attention in Pytorch
AI classifier for indicating AI-written text
Adversarially Learned One-Class Classifier for Novelty Detection (ALOCC)
A pytorch implemented classifier for Multiple-Label classification
A simple emoji classifier for humans. 🖖
Open source physics-based sandbox game with electronic circuitry, mechanics, robots, puzzles, Lua scripting and more.
Restricted Boltzmann Machines in Python.
A collection of machine learning examples and tutorials.
PyTorch implementation of SLAYER for training Spiking Neural Networks
Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper