FSL-Mate: A collection of resources for few-shot learning (FSL).

Learn about particle swarm optimization (PSO) through Python!

A Software Framework for HyperParameter Optimization

Python implementation of HOTS: Hierarchy Of event-based Time-Surface for pattern recognition

My implementation of Lagorce et al 2017: HOTS: A Hierarchy of Event-Based Time-Surfaces for Pattern Recognition

Wearable Ultra Low-Power Ultrasound probe

Spyx: Spiking Neural Networks in JAX

Implementing Siamese networks with a contrastive loss for similarity learning

A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

All Algorithms implemented in Python

NMA Computational Neuroscience course

Pure python implementation of SNN

Brian is a free, open source simulator for spiking neural networks.

PyBF: Python Ultrasound Beamformer

Python code for event based vision

Material for gpu-mode lectures

Simulation of spiking neural networks (SNNs) using PyTorch.

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

A python implementation of a spiking neural network with STDP and Reinforcement learning methods

Run PyTorch LLMs locally on servers, desktop and mobile

Seamless analysis of your PyTorch models (RAM usage, FLOPs, MACs, receptive field, etc.)

Flops counter for convolutional networks in pytorch framework

The calflops is designed to calculate FLOPs、MACs and Parameters in all various neural networks, such as Linear、 CNN、 RNN、 GCN、Transformer(Bert、LlaMA etc Large Language Model)

A collection of AWESOME things about domian adaptation

Scripts for the Verasonics Ultrasound machine

Deep and online learning with spiking neural networks in Python

Control Engineering with Python

A minimal GPU design in Verilog to learn how GPUs work from the ground up