Magdalena Gołębiowska's starred repositories

voice_datasets

🔊 A comprehensive list of open-source datasets for voice and sound computing (95+ datasets).

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conversational-datasets

Large datasets for conversational AI

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wespeaker

Research and Production Oriented Speaker Verification, Recognition and Diarization Toolkit

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dejavu

Audio fingerprinting and recognition in Python

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Voice-Authentication-CNN

Voice authentication system implementation using Python

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QUIET

code of paper "A Quantum Probability Driven Framework for Joint Multi-Modal Sarcasm, Sentiment and Emotion Analysis"

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cortex-example

Example with Cortex V2/V3 API

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EC-Bestiary

A bestiary of evolutionary, swarm and other metaphor-based algorithms

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AugLy

A data augmentations library for audio, image, text, and video.

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stopwords

Popular stopwords for general languages - very usefull for building dictionaries, searchers or text indexes

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emotiv-insight-keystroke

Interface with Emotiv device and keystroke events

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przetak

Przetak: fewer weeds on the Web

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break_md5

CUDA code to find collisions in md5 with specific messages

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flowers_classification

Deep neural network for image classification

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random_trains

Boltzmann Samplers for combinatorial class of trains.

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github-stats

Better GitHub statistics images for your profile, with stats from private repos too

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Facial-Expression-Recognition.Pytorch

A CNN based pytorch implementation on facial expression recognition (FER2013 and CK+), achieving 73.112% (state-of-the-art) in FER2013 and 94.64% in CK+ dataset

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MalwareCollection

Popular Malware-Samples for research and educational purposes.(60+ Samples!)

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emotion-classify-browser

Browser-based emotion classification built using TensorFlowJS

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FER_Doggomaniacs

Emotion Recognition through Facial Expressions.

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MIMAMO-Net

MIMAMO Net: Integrating Micro- and Macro-motion for Video Emotion Recognition

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pansen-panel

Riot League of Legends Live Client Data API,🛠 Riot League of Legends Client Live Data Panel

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keras-adversarial

Keras Generative Adversarial Networks

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gan-heightmaps

Procedural terrain generation for video games has been traditionally been done with smartly designed but handcrafted algorithms that generate heightmaps. We propose a first step toward the learning and synthesis of these using recent advances in deep generative modelling with openly available satellite imagery from NASA.

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sketch-to-terrain

Implementation of Interactive Example-Based Terrain Authoring with Conditional Generative Adversarial Networks.

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