JAEarly's Stars
CompVis/stable-diffusion
A latent text-to-image diffusion model
invoke-ai/InvokeAI
InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.
NVlabs/stylegan3
Official PyTorch implementation of StyleGAN3
paperswithcode/ai-deadlines
:alarm_clock: AI conference deadline countdowns
alexlenail/NN-SVG
Publication-ready NN-architecture schematics.
lkwq007/stablediffusion-infinity
Outpainting with Stable Diffusion on an infinite canvas
mseitzer/pytorch-fid
Compute FID scores with PyTorch.
opendilab/awesome-RLHF
A curated list of reinforcement learning with human feedback resources (continually updated)
cloneofsimo/minDiffusion
Self-contained, minimalistic implementation of diffusion models with Pytorch.
cauchyturing/UCR_Time_Series_Classification_Deep_Learning_Baseline
Fully Convlutional Neural Networks for state-of-the-art time series classification
hfawaz/InceptionTime
InceptionTime: Finding AlexNet for Time Series Classification
TeaPearce/Conditional_Diffusion_MNIST
Conditional diffusion model to generate MNIST. Minimal script. Based on 'Classifier-Free Diffusion Guidance'.
zhihanyue/ts2vec
A universal time series representation learning framework
PaddlePaddle/PaddleTS
Awesome Easy-to-Use Deep Time Series Modeling based on PaddlePaddle, including comprehensive functionality modules like TSDataset, Analysis, Transform, Models, AutoTS, and Ensemble, etc., supporting versatile tasks like time series forecasting, representation learning, and anomaly detection, etc., featured with quick tracking of SOTA deep models.
angus924/rocket
ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels
awslabs/syne-tune
Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
DynamicsAndNeuralSystems/catch22
catch22: CAnonical Time-series CHaracteristics
djsutherland/arxiv-collector
A little Python script to collect LaTeX sources for upload to the arXiv.
angus924/minirocket
MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification
garydoranjr/misvm
Multiple-Instance Support Vector Machines
salesforce/CoST
PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)
okrasolar/pytorch-timeseries
PyTorch implementations of neural networks for timeseries classification
DynamicsAndNeuralSystems/pycatch22
python implementation of catch22
BinaLab/FloodNet-Supervised_v1.0
BinaLab/FloodNet-Challenge-EARTHVISION2021
TheMrGhostman/InceptionTime-Pytorch
Unofficial Pytorch implementation of Inception layer for time series classification and its possible transposition for further use in Variational AutoEncoder
JAEarly/MILTimeSeriesClassification
Inherently Interpretable Time Series Classification via Multiple Instance Learning (MILLET)
vict0rsch/pytorch-fid-wrapper
A simple wrapper around @mseitzer's great pytorch-fid work to compute Fréchet Inception Distance in-memory from batches of images, using PyTorch
JAEarly/MIL-Land-Cover-Classification
Code for the paper "Scene-to-Patch Earth Observation: Multiple Instance Learning for Land Cover Classification".
JAEarly/MIL-for-Non-Markovian-Reward-Modelling
Code for the paper "Non-Markovian Reward Modelling from Trajectory Labels via Interpretable Multiple Instance Learning".