Mihai Suteu's starred repositories
statsforecast
Lightning ⚡️ fast forecasting with statistical and econometric models.
Multi-Task-Learning-PyTorch
PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).
unitary-scalarization-dmtl
In Defense of the Unitary Scalarization for Deep Multi-Task Learning
awesome-multi-task-learning
2023 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.
auto-lambda
The Implementation of "Auto-Lambda: Disentangling Dynamic Task Relationships" [TMLR 2022].
continual-learning-papers
Continual Learning papers list, curated by ContinualAI
pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
UniversalRepresentations
Universal Representations: A Unified Look at Multiple Task and Domain Learning
time-series-papers
An up-to-date list of time-series related papers in AI venues.
Time-Series-Works-Conferences
Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)
mobilenetv2.pytorch
72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models
Awesome-Multi-Task-Learning
A list of multi-task learning papers and projects.
mobileNet-v2_cifar10
a pytorch implement of mobileNet v2 on cifar10
quantstats
Portfolio analytics for quants, written in Python
pytorch-meta
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
MAML-Pytorch
Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
statsmodels
Statsmodels: statistical modeling and econometrics in Python
pytorch-forecasting
Time series forecasting with PyTorch
flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).