Aditya3107
PhD candidate @ Radboud University, Centre for Language Studies.
Radboud UniversityNijmegen, Netherlands
Pinned Repositories
Annotated-Corpus-for-Named-Entity-Recognition
Any_Machine_Learning_Problems
Approach any machine learning problem - from book of Abhishek Thakur
aparikh.github.io
awesome-emotion-recognition-in-conversations
A comprehensive reading list for Emotion Recognition in Conversations
CodingInterviews
This repository contains coding interviews that I have encountered in company interviews
CTCDecoder
Connectionist Temporal Classification (CTC) decoding algorithms: best path, prefix search, beam search and token passing. Implemented in Python and OpenCL.
Deep-Learning-Coursera
Deep Learning Specialization by Andrew Ng on Coursera.
Deep-Learning-Specialization
Deep Learning Specialization course by Andrew NG on Coursera, Programming Assignments
IEMOCAP_EMOTION_Recognition
Emotion recognition from IEMOCAP datasets.
SpecAugment-vs-CodecAugment
Emotion recognition with IEMOCAP datasets. We compare the results with SpecAugmentation and CodecAugmentation. For audio codec implementation, we have selected opus.
Aditya3107's Repositories
Aditya3107/IEMOCAP_EMOTION_Recognition
Emotion recognition from IEMOCAP datasets.
Aditya3107/SpecAugment-vs-CodecAugment
Emotion recognition with IEMOCAP datasets. We compare the results with SpecAugmentation and CodecAugmentation. For audio codec implementation, we have selected opus.
Aditya3107/Annotated-Corpus-for-Named-Entity-Recognition
Aditya3107/Any_Machine_Learning_Problems
Approach any machine learning problem - from book of Abhishek Thakur
Aditya3107/aparikh.github.io
Aditya3107/awesome-emotion-recognition-in-conversations
A comprehensive reading list for Emotion Recognition in Conversations
Aditya3107/CodingInterviews
This repository contains coding interviews that I have encountered in company interviews
Aditya3107/CTCDecoder
Connectionist Temporal Classification (CTC) decoding algorithms: best path, prefix search, beam search and token passing. Implemented in Python and OpenCL.
Aditya3107/Deep-Learning-Coursera
Deep Learning Specialization by Andrew Ng on Coursera.
Aditya3107/Deep-Learning-Specialization
Deep Learning Specialization course by Andrew NG on Coursera, Programming Assignments
Aditya3107/DeepSpeech
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
Aditya3107/Emotion_Recognition
Aditya3107/Fashion_MNIST
Aditya3107/g2p-seq2seq
G2P with Tensorflow
Aditya3107/github-slideshow
A robot powered training repository :robot:
Aditya3107/Hackathon
Aditya3107/Hyperparameter_Optimization_random_forest
Different ways of hyperparameterization shown for Random forest model
Aditya3107/kaldi
dan povey's local copy of kadi-asr/kaldi
Aditya3107/kaldi_egs_CGN
Kaldi recipe for creating Dutch ASR from CGN
Aditya3107/num2words
Modules to convert numbers to words. 42 --> forty-two
Aditya3107/prefix-beam-search
Code for prefix beam search tutorial by @labodk
Aditya3107/Python-Assignments
Aditya3107/SpecAugmentation
Aditya3107/ThinkDSP
Think DSP: Digital Signal Processing in Python, by Allen B. Downey.
Aditya3107/TimeSeriesAnalysis
Aditya3107/UNet-implementation
UNet : Convolutional Networks for Biomedical Image Segmentation
Aditya3107/University-admission-prediction
Aditya3107/volume-meter
Simple example of implementing a clip-detecting volume meter in Web Audio.
Aditya3107/wav2vec2-basics
Aditya3107/word_prediction_model
Code and examples of NLP tutorial on Udemy