JAEarly

stable-diffusion

A latent text-to-image diffusion model

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.

stylegan3

Official PyTorch implementation of StyleGAN3

ai-deadlines

:alarm_clock: AI conference deadline countdowns

NN-SVG

Publication-ready NN-architecture schematics.

stablediffusion-infinity

Outpainting with Stable Diffusion on an infinite canvas

pytorch-fid

Compute FID scores with PyTorch.

awesome-RLHF

A curated list of reinforcement learning with human feedback resources (continually updated)

minDiffusion

Self-contained, minimalistic implementation of diffusion models with Pytorch.

UCR_Time_Series_Classification_Deep_Learning_Baseline

Fully Convlutional Neural Networks for state-of-the-art time series classification

InceptionTime

InceptionTime: Finding AlexNet for Time Series Classification

Conditional_Diffusion_MNIST

Conditional diffusion model to generate MNIST. Minimal script. Based on 'Classifier-Free Diffusion Guidance'.

ts2vec

A universal time series representation learning framework

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.

rocket

ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels

syne-tune

Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.

catch22

catch22: CAnonical Time-series CHaracteristics

arxiv-collector

A little Python script to collect LaTeX sources for upload to the arXiv.

minirocket

MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification

misvm

Multiple-Instance Support Vector Machines

CoST

PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)

pytorch-timeseries

PyTorch implementations of neural networks for timeseries classification

pycatch22

python implementation of catch22

FloodNet-Supervised_v1.0

FloodNet-Challenge-EARTHVISION2021

InceptionTime-Pytorch

Unofficial Pytorch implementation of Inception layer for time series classification and its possible transposition for further use in Variational AutoEncoder

MILTimeSeriesClassification

Inherently Interpretable Time Series Classification via Multiple Instance Learning (MILLET)

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

MIL-Land-Cover-Classification

Code for the paper "Scene-to-Patch Earth Observation: Multiple Instance Learning for Land Cover Classification".

MIL-for-Non-Markovian-Reward-Modelling

Code for the paper "Non-Markovian Reward Modelling from Trajectory Labels via Interpretable Multiple Instance Learning".