Rumeysa Keskin (Rumeysakeskin)

Rumeysakeskin

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Location:Istanbul, Turkey

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Rumeysa Keskin's repositories

Turkish-Text-to-Speech

Speech synthesis (TTS) in low-resource languages by training from scratch with Fastpitch and fine-tuning with HifiGan

Speaker-Verification

Verifying the identity of a person from characteristics of the voice independent from language via NVIDIA NeMo models (ECAPA-TDNN, SpeakerNet, TitaNet-L).

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Image-Caption-Generation

InceptionV3-Multi-layer GRU based automatic image captioning with Keras and TensorFlow frameworks

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EuroSat-Satellite-CNN-and-ResNet

Classifying custom image datasets by creating Convolutional Neural Networks and Residual Networks from scratch with PyTorch

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IMECA

Automatic image captioning on Android-based mobile application with CNN and multi-layer GRU encoder-decoder model

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Speech-Datasets-for-ASR

Download speech datasets (English and non-English) for Automatic Speech Recognition

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YOLO-Darknet-Video-and-Image-Detection-Traffic-Signs

YOLO Darknet: Traffic sign detection on image and video

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Conda-Jupyter-Docker

Create conda environment and launch jupyter notebook in Anaconda docker container

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Question-Answering-BERT

Extractive Question-Answering with BERT on SQuAD v2.0 (Stanford Question Answering Dataset) using NVIDIA PyTorch Lightning

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Archiconda3-for-ARM64-Jetson-TX1-TX2

Create light-weight conda environment for ARM64 devices

ASR-Quantization

Post-training quantization on Nvidia Nemo ASR model

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dtw-compare-audio-files

Compute the MFCCs and measure (dis)similarity between two audio files using DTW

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Image-Captioning

Image captioning with a benchmark of CNN-based encoder and GRU-based inject-type (init-inject, pre-inject, par-inject) and merge decoder architectures

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Image-Classification-InceptionV3

Transfer learning using Inception V3 for custom image classification dataset with TensorFlow and Keras

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mms-turkish-tts

Turkish text to speech model that the part of Facebook's Massively Multilingual Speech

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Custom-Object-Detection-PyTorch

Custom object detection on a video dataset using PyTorch Faster RCNN

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KenLM

Determining the probability of a sequence of words in Turkish using the KenLM language model with Python

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NGC-docker

NVIDIA GPU Cloud setup and building NVIDIA Containers for Jetson and JetPack

Speech-Emotion-Recognition-Turkish-and-more

Advanced Speech Emotion Recognition, based on ExHuBERT: Enhancing HuBERT Through Block Extension and Fine-Tuning on 37 Emotion Datasets and 14 languages (Emotions: Disgust, Neutral, Kind, Anger, Surprise, Joy)

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TextPrepR

Package for cleaning and preprocessing text data is supported for all languages (some functions) and English (all fuctions).

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jetson-voice

ASR/NLP/TTS deep learning inference library for NVIDIA Jetson using PyTorch and TensorRT

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