hslau44
I am mainly working on projects in healthcare and ML, this year I am looking to be more active in open source related to deep learning
University of Wales Trinity Saint DavidSwansea
hslau44's Stars
jcvasquezc/DisVoice
feature extraction from speech signals
alexisdmacintyre/SpeechBreathingToolbox
Tools for the automatic detection of speech-related inhalation events and characterisation of the speech respiratory cycle.
codecrafters-io/build-your-own-x
Master programming by recreating your favorite technologies from scratch.
stefanrmmr/streamlit-audio-recorder
Record Audio from the User's Microphone in Apps that are Deployed to the Web. (via Browser Media-API, REACT-based, Streamlit Custom Component)
alan-turing-institute/Turing-RSS-Health-Data-Lab-Biomedical-Acoustic-Markers
kymatio/kymatio
Wavelet scattering transforms in Python with GPU acceleration
alexeygrigorev/lightweight-mlops-zoomcamp
A stripped-down version MLOps Zoomcamp (1.5 hours workshop)
NVIDIA/DeepLearningExamples
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
salesforce/LAVIS
LAVIS - A One-stop Library for Language-Vision Intelligence
eleGAN23/HyperNets
Hypercomplex Neural Networks with PyTorch
phlippe/uvadlc_notebooks
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
mazy1998/Solving-Optimization-Problems-with-JAX
Solving Optimization Problems with JAX, code and PDF
EthicalML/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
delip/PyTorchNLPBook
Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://amzn.to/3JUgR2L
patrick-kidger/equinox
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
liyaguang/DCRNN
Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow
ivy-llc/ivy
Convert ML Code Between Frameworks
qfettes/DeepRL-Tutorials
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
vios-s/disentanglement_tutorial
This repository summarizes the material gathered for the tutorial on learning disentangled representations in the imaging domain, and serves as a roadmap for the disentanglement aficionados.
zhaoxin94/awesome-domain-adaptation
A collection of AWESOME things about domian adaptation
YuyangZhangFTD/awesome-RecSys-papers
The awesome and classic papers in recommendation system!!! Good luck to every RecSys-learner!
jgvictores/awesome-deep-reinforcement-learning
Curated list for Deep Reinforcement Learning (DRL): software frameworks, models, datasets, gyms, baselines...
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
dkozlov/awesome-knowledge-distillation
Awesome Knowledge Distillation
jason718/awesome-self-supervised-learning
A curated list of awesome self-supervised methods
aikorea/awesome-rl
Reinforcement learning resources curated
Openning07/awesome-curriculum-learning
some bravo or inspiring research works on the topic of curriculum learning
tushar-semwal/awesome-federated-computing
:books: :eyeglasses: A collection of research papers, codes, tutorials and blogs on Federated Computing/Learning.
sudharsan13296/Awesome-Meta-Learning
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
simoninithomas/Deep_reinforcement_learning_Course
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch