shchur's Stars
CompVis/stable-diffusion
A latent text-to-image diffusion model
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
astral-sh/uv
An extremely fast Python package and project manager, written in Rust.
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
facebookresearch/xformers
Hackable and optimized Transformers building blocks, supporting a composable construction.
Netflix/metaflow
Build, Deploy and Manage AI/ML Systems
autogluon/autogluon
Fast and Accurate ML in 3 Lines of Code
cxli233/FriendsDontLetFriends
Friends don't let friends make certain types of data visualization - What are they and why are they bad.
aimhubio/aim
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
Nixtla/statsforecast
Lightning ⚡️ fast forecasting with statistical and econometric models.
amazon-science/chronos-forecasting
Chronos: Pretrained Models for Probabilistic Time Series Forecasting
time-series-foundation-models/lag-llama
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
scikit-learn-contrib/MAPIE
A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
huggingface/evaluation-guidebook
Sharing both practical insights and theoretical knowledge about LLM evaluation that we gathered while managing the Open LLM Leaderboard and designing lighteval!
functime-org/functime
Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
SalesforceAIResearch/uni2ts
Unified Training of Universal Time Series Forecasting Transformers
awslabs/fortuna
A Library for Uncertainty Quantification.
aangelopoulos/conformal-prediction
Lightweight, useful implementation of conformal prediction on real data.
lava-nc/lava
A Software Framework for Neuromorphic Computing
openml/automlbenchmark
OpenML AutoML Benchmarking Framework
syne-tune/syne-tune
Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
mmcdermott/EventStreamGPT
Dataset and modelling infrastructure for modelling "event streams": sequences of continuous time, multivariate events with complex internal dependencies.
salesforce/online_conformal
Methods for online conformal prediction.
yangalan123/TemporalPointProcessPapers
Paper lists for Temporal Point Process
automl/amltk
A build-it-yourself AutoML Framework
NREL/BuildingsBench
Large-scale pretraining and benchmarking for short-term load forecasting.
amazon-science/redset
Redset is a dataset containing three months worth of user query metadata that ran on a selected sample of instances in the Amazon Redshift fleet. We provide query metadata for 200 provisioned and serverless instances each.
autogluon/tabrepo
Compare and ensemble models without retraining
shchur/survival_distributions
Extended functionality for univariate probability distributions in PyTorch
kjappelbaum/aeml