Official implementation of the NASiam paper.

A python project that performs Handwritten signature Verification

Differentiating the forged handwritten signatures from the genuine ones with the help of CNNs.

A curated, non-exhaustive list of papers in handwritten signature verification using ML/DL techniques.

Offline handwritten signature verification

SigNet (Detecting Signature Similarity using Machine Learning/Deep Learning): Is this the end of Human Forensic Analysis?

Learned representation for Offline Handwritten Signature Verification. Models and code to extract features from signature images.

A super lightweight image processing algorithm for detection and extraction of overlapped handwritten signatures on scanned documents using OpenCV and scikit-image.

Verify the authenticity of handwritten signatures through digital image processing and neural networks. ✍️

Train a classification model to determine to whom a handwritten signature belongs to. Train another model(s) to determine whether the signature is real or forged. Signature Detection using YOLO.

Different implementations of "Weighted Prediction Error" for speech dereverberation

A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

Simple demonstration of the Knowledge Distillation framework with neural networks

Notes on some important deep learning topics and paper summaries

Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".

AAAI 2025: Codec Does Matter: Exploring the Semantic Shortcoming of Codec for Audio Language Model

Notebooks for Posts on Designingwithml Newsletter

A collection of NLP notebooks for quick demos and hands-on learning.

Official PyTorch code for Deep Audio-Signal Holistic Embeddings

Code for the method proposed in the paper:- ccc-wav2vec 2.0: Clustering aided Cross-Contrastive learning of Self-Supervised speech representations

FreeVC: Towards High-Quality Text-Free One-Shot Voice Conversion

A Library for Advanced Deep Time Series Models.

The official implementation of EmoSphere++

Various Latent Variable Models implementations in Pytorch, including VAE, VAE with AF Prior, VQ-VAE and VQ-VAE with Gated PixelCNN

[official] PyTorch implementation of TimeVQVAE from the paper ["Vector Quantized Time Series Generation with a Bidirectional Prior Model", AISTATS 2023]

Python-based Quadcopter Flight Controller Software using a Raspberry Pi Pico, MPU-6050, and a FlySky radio transmitter & receiver

Easy-to-Use Speech MOS predictors

In this repository, you will learn how code works in VITS(Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech) in Jupyter Notebooks, including normalizing da…

We used generative adversarial networks (GANs) to do anomaly detection for time series data.