lbasora

lbasora's Stars

• ashleve/lightning-hydra-template

  PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡

  Language:Python4.3k28245654

• HobbitLong/SupContrast

  PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

  Language:Python3.1k20135537

• uncertainty-toolbox/uncertainty-toolbox

  Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

  Language:Python1.8k3534129

• clementchadebec/benchmark_VAE

  Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

  Language:Python1.8k1866164

• google/edward2

  A simple probabilistic programming language.

  Language:Jupyter Notebook6791811775

• yaringal/DropoutUncertaintyExps

  Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"

  Language:Python554187122

• taspinar/siml

  Machine Learning algorithms implemented from scratch

  Language:Jupyter Notebook4844011259

• rtqichen/beta-tcvae

  code for "Isolating Sources of Disentanglement in Variational Autoencoders".

  Language:Python34211069

• georgebv/pyextremes

  Extreme Value Analysis (EVA) in Python

  Language:Python23972547

• ml-stat-Sustech/TorchCP

  A Python toolbox for conformal prediction research on deep learning models, using PyTorch.

  Language:Python23041132

• gorodnitskiy/yet-another-lightning-hydra-template

  Flexible and scalable template based on PyTorch Lightning + Hydra. Efficient workflow and reproducibility for rapid ML experiments.

  Language:Python2087111

• CEA-LIST/N2D2

  N2D2 is an open source CAD framework for Deep Neural Network simulation and full DNN-based applications building.

  Language:C1471511035

• TyXe-BDL/TyXe

  Language:Jupyter Notebook14582233

• Vastlab/libMR

  Library for Meta-Recognition and Weibull based calibration of SVM data.

  Language:C80101423

• ljain2/libsvm-openset

  Language:C++514429

• AIgen/df-posthoc-calibration

  Model-agnostic posthoc calibration without distributional assumptions

  Language:Jupyter Notebook42116

• YKatser/CPDE

  Results of the "Ensembles of offline changepoint detection methods" research to reproduce

  Language:Jupyter Notebook411513

• SebFar/radial_bnn

  Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning

  Language:Python33233

• arthurviens/bayesrul

  Bayesian Neural Networks to predict RUL on N-CMAPSS

  Language:Python18114

• classifier-calibration/PyCalib

  Python library for classifier calibration

  Language:Python151162

• Vastlab/vast

  A repository for some common operations for everyone

  Language:Python1511145

• Lorenzo-Perini/Confidence_AD

  Estimation of the confidence measure for anomaly detectors, as explained in the paper "Quantifying the Confidence of Anomaly Detectors in Their Example-Wise Predictions" (ECML-PKDD 2020).

  Language:Jupyter Notebook12210

• SathvikEadla/W-SVM

  Implementation of an Openset Recognition algorithm.

  Language:C++12112

• flxai/soft-brownian-offset

  Soft Brownian Offset

  Language:Python9320

• zccguess/OS-CNN

  Language:C631

• sagarverma/MotorDynamics

  Modelling electrical motor dynamics using neural networks.

  Language:Python42120

• kruuZHAW/deep-traffic-generation-paper

  Air traffic generation with VAE

  Language:HTML31

• Krankile/ensemble_forecasting

  Competitive DL-based model on the M4 competition dataset

  Language:Jupyter Notebook2100

• shadgriffin/phat_to_ttf

  Language:Jupyter Notebook220

• silasbrack/approximate-inference-for-bayesian-neural-networks

  Language:Python20