Visualizer for neural network, deep learning and machine learning models

Using deep learning models for image classification directly on the HoloLens 2.

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

Deep and online learning with spiking neural networks in Python

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

ICLR 2023, Spikformer: When Spiking Neural Network Meets Transformer

SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.

Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT

A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM …

Dynamic Causal Modelling for MNE and the nipy ecosystem

Google Research

An open-source, low-code machine learning library in Python

Top2Vec learns jointly embedded topic, document and word vectors.

Tutorial for surrogate gradient learning in spiking neural networks

A group of simple demos and exmaples to run on your TurtleBot to help you get started with ROS and TurtleBot.

Daft-Exprt: Robust Prosody Transfer Across Speakers for Expressive Speech Synthesis

In this workflow we demonstrate using SDG + TAO for a freespace segmentation application

MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model

The official PyTorch implementation of the paper "Human Motion Diffusion Model"

Official implementation for "Generating Diverse and Natural 3D Human Motions from Texts (CVPR2022)."

This repository contains code to replicate results from the ICASSP 2020 paper "StarGAN for Emotional Speech Conversion: Validated by Data Augmentation of End-to-End Emotion Recognition".

This is a pytorch implementation of the paper: StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks

Course content and resources for the AIAIART course.

This is the GitHub page for publicly available emotional speech data.

NVIDIA's Deep Imagination Team's PyTorch Library

D-VAE: A Variational Autoencoder for Directed Acyclic Graphs, NeurIPS 2019

Neural Networks from Scratch in various programming languages

Animation engine for explanatory math videos