huylenguyen

huylenguyen's Stars

• jamesrobertlloyd/gp-structure-search

  Language:TeX22983

• zhuyaoyu/SNN-event-driven-learning

  An event-driven learning algorithm for spiking neural networks

  Language:Python243

• fastforwardlabs/multi-objective-hyperparameter-optimization

  Easy, fast, _and_ cheap!

  Language:Jupyter Notebook62

• AnthonyRentsch/calibrated_regression

  A tutorial for the 2018 paper Accurate Uncertainties for Deep Learning Using Calibrated Regression by Kuleshov et al.

  Language:Jupyter Notebook5011

• ulissigroup/uncertainty_benchmarking

  Various code/notebooks to benchmark different ways we could estimate uncertainty in ML predictions.

  Language:Jupyter Notebook407

• Vislike/beat-saber-custom-song-repair-tool

  Language:Java162

• python-poetry/poetry

  Python packaging and dependency management made easy

  Language:Python31.7k2.3k

• oliverguhr/wav2vec2-live

  A live speech recognition using Facebooks wav2vec 2.0 model.

  Language:Python32657

• jamesrobertlloyd/gpss-research

  Kernel structure discovery research code - likely to be unstable

  Language:TeX18873

• Lightning-AI/pytorch-lightning

  Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

  Language:Python28.4k3.4k

• Edresson/Wav2Vec-Wrapper

  An easy way to fine-tune Wav2Vec 2.0 for low-resource languages.

  Language:Python8117

• Wikidepia/wav2vec2-indonesian

  Language:Python54

• sisl/NeuralVerification.jl

  Methods to soundly verify deep neural networks

  Language:Julia22450

• nianticlabs/simplerecon

  [ECCV 2022] SimpleRecon: 3D Reconstruction Without 3D Convolutions

  Language:Python1.3k121

• aamini/evidential-deep-learning

  Learn fast, scalable, and calibrated measures of uncertainty using neural networks!

  Language:Python43798

• dougbrion/pytorch-classification-uncertainty

  This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"

  Language:Python43662

• FreddyWordingham/arctk

  Numerical simulations of physical systems - library and example binaries

  Language:Rust15

• mikkelbue/tinyDA

  Multilevel Delayed Acceptance MCMC sampler with finite-length subchains, modern transition kernels and adaptive error modelling.

  Language:Python143

• exanauts/Argos.jl

  Reduced-space optimization, for optimal power flow.

  Language:Julia183

• exanauts/ExaPF.jl

  A Power Flow Solver for GPUs in Julia

  Language:Julia585

• Msq-9/Extraction-of-Skills

  Extracting Skills from resume using Machine Learning

  Language:Jupyter Notebook2917

• IGITUGraz/eligibility_propagation

  Language:Python8735

• mbax9an4/SpikeProp

  Language:Python62

• leaflabs/WaspNet.jl

  Language:Julia136

• lolemacs/pytorch-eventprop

  A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks

  Language:Python4910

• lazarusA/MakieNotebooks

  A collection of Jupyter notebooks with simple examples on how to use Makie

  Language:Jupyter Notebook384

• EPFL-LCN/pub-illing2019-nnetworks

  Public code (julia) for Illing, Gerstner & Brea 2019: Biologically plausible deep learning - but how far can we go with shallow networks?

  Language:Julia182

• AStupidBear/SpikingNeuralNetworks.jl

  Julia Spiking Neural Network Simulator

  Language:Julia3917

• fzenke/spytorch

  Tutorial for surrogate gradient learning in spiking neural networks

  Language:Jupyter Notebook28877

• djsaunde/lm-snn

  Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.

  Language:Python15246