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Name: Thomas Pellegrini
Type: User
Company: IRIT
Location: Toulouse, France
Name: Thomas Pellegrini
Type: User
Company: IRIT
Location: Toulouse, France
Allosaurus is a pretrained universal phone recognizer for more than 2000 languages
Implementation of our paper 'On Metric Learning For Audio-Text Cross-Modal Retrieval'
Adapting a ConvNeXt model to audio classification on AudioSet
Beam search for neural network sequence to sequence (encoder-decoder) models.
DenseNets for the detection of singing birds in audio files
Pytorch code for the Compare 2021 Interspeech challenge (primates call classification)
code for deep learning courses
RCNN for the DCASE 2019 sound event detection task
code for our 1st prize system to win the DCASE2017 task4 challenge
Unofficial implementation of the paper 'Deep Co-Training for Semi-Supervised Image Recognition'
PCA and ZCA whitening on a dummy set of 2-d points
Frame-based regression of valence and arousal in music samples with RNNs
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"
Resources for the Generative Music AI Course on The Sound of AI YouTube channel.
Phone-level evaluation of L2 speakers (GOP algorithm)
Code accompanying my blog post: So, what is a physics-informed neural network?
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
IJCNN'19: Cosine-similarity penalty to discriminate sound classes in weakly-supervised sound event detection
Interspeech 2019 tutorial materials
Python notebooks in Machine Learning
Language-based audio retrieval system for DCASE 2022 Task 6b
Code repository of the paper Neural circuit policies enabling auditable autonomy published in Nature Machine Intelligence
Keras (tensorflow) implementation of SincNet (Mirco Ravanelli, Yoshua Bengio - https://github.com/mravanelli/SincNet)
Audio captioning system based on LAS, used in the DCASE2020 challenge
Plain python implementations of basic machine learning algorithms
An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio*, Shao-Hua Sun*, Hexiang Hu, and Joseph J. Lim
This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Faisal and Cheng Ong, written in python for Jupyter Notebook.
Language-based audio retrieval system for DCASE 2022
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.