mjoanac's starred repositories
Co-teaching
NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels
pytorch_image_classification
PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet
Pytorch-CapsuleNet
An easy-to-follow Pytorch implementation of Hinton's Capsule Network
NeuroSpeech
Toolkit to asses speech impairments in patients with neurological disorders
Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
sentence-transformers
State-of-the-Art Text Embeddings
early-stopping-pytorch
Early stopping for PyTorch
AttentionDeepMIL
Implementation of Attention-based Deep Multiple Instance Learning in PyTorch
two-stream-networks
Multi-stream CNN architectures for action detection with actor-centric filtering
communication-subspace
Code for "Cortical areas interact through a communication subspace", Semedo et al. (Neuron, 2019)
sail_align
SailAlign is an open-source software toolkit for robust long speech-text alignment implementing an adaptive, iterative speech recognition and text alignment scheme that allows for the processing of very long (and possibly noisy) audio and is robust to transcription errors. It is mainly written as a perl library but its functionality also depends on freely available software, namely HTK, srilm and sclite.
Prosodylab-Aligner
Python interface for forced audio alignment using HTK and SoX
NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
pocketsphinx
A small speech recognizer
speech-nlp-datasets
Contains links to publicly available datasets for modeling health outcomes using speech and language.
pytorch_MLP_for_ASR
This code implements a basic MLP for speech recognition. The MLP is trained with pytorch, while feature extraction, alignments, and decoding are performed with Kaldi. The current implementation supports dropout and batch normalization. An example for phoneme recognition using the standard TIMIT dataset is provided.
Automatic_Speech_Recognition
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
textClassifier
Text classifier for Hierarchical Attention Networks for Document Classification
hierarchical-attention-networks
Document classification with Hierarchical Attention Networks in TensorFlow. WARNING: project is currently unmaintained, issues will probably not be addressed.
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers