Alternatives and similar repositories for torch_moving_mnist

Users that are interested in torch_moving_mnist are comparing it to the libraries listed below

• Sulam-Group / k-rcps
  "How to Trust Your Diffusion Models: A Convex Optimization Approach to Conformal Risk Control"
  ☆18Updated 4 months ago
• ml-jku / quam
  Quantification of Uncertainty with Adversarial Models
  ☆29Updated 2 years ago
• Rose-STL-Lab / AutoSTPP
  Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inf…
  ☆25Updated last year
• mfinzi / neural-ivp
  ☆11Updated 2 years ago
• amazon-science / dlwp-benchmark
  Code for the paper: Comparing and Contrasting Deep Learning Weather Prediction Backbones on Navier-Stokes and Atmospheric Dynamics
  ☆13Updated last year
• SamsungSAILMontreal / PAPA
  Repository for the PopulAtion Parameter Averaging (PAPA) paper
  ☆28Updated last year
• francois-rozet / papers-101
  Implementation of papers in 101 lines of code.
  ☆18Updated last year
• siboehm / NormalizingFlowNetwork
  Bayesian and Maximum Likelihood Implementation of the Normalizing Flow Network (NFN): https://arxiv.org/abs/1907.08982
  ☆21Updated 4 years ago
• COR-OPT / SuperPolyak.py
  Pytorch implementation of SuperPolyak subgradient method.
  ☆43Updated 2 years ago
• kramea / aibedo
  DARPA AIE (AI-Assisted Climate Tipping Point): AIBEDO (A hybrid AI framework to capture the effects of cloud properties on global circula…
  ☆18Updated last year
• cgarciae / einop
  ☆60Updated 3 years ago
• vincentblot28 / conformalized_gp
  ☆48Updated 9 months ago
• bgroenks96 / normalizing-flows
  Implementations of normalizing flows using python and tensorflow
  ☆24Updated 11 months ago
• jmtomczak / git_flow
  General Invertible Transformations for Flow-based Generative Models
  ☆18Updated 4 years ago
• ThrunGroup / maptree
  ☆40Updated 2 years ago
• phlippe / asci_cbl_practicals
  The repository for the Deep Learning practicals of the ASCI Computer Vision by Learning course 2022
  ☆14Updated 3 years ago
• probabilists / azula
  Diffusion models in PyTorch
  ☆111Updated last week
• aaron1rcl / metropolis_hastings_from_scratch
  MCMC Metropolis Hastings and Bayesian Regression from Scratch
  ☆13Updated last year
• Datalab-FIT-CTU / weather4cast-2022
  WeatherFusionNet - our solution to the NeurIPS 2022 Weather4cast competition
  ☆32Updated last year
• ermongroup / self-similarity-prior
  Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations
  ☆28Updated 2 years ago
• fsschneider / cockpit-experiments
  Experiments for the NeurIPS 2021 paper "Cockpit: A Practical Debugging Tool for the Training of Deep Neural Networks"
  ☆13Updated 4 years ago
• sscardapane / hydra-tutorial
  Companion code for a tutorial on using Hydra.
  ☆30Updated 4 years ago
• crowsonkb / torch-dist-utils
  Utilities for PyTorch distributed
  ☆25Updated 8 months ago
• Newbeeer / stf
  Code for ICLR 2023 Paper, "Stable Target Field for Reduced Variance Score Estimation in Diffusion Models”
  ☆76Updated 2 years ago
• crowsonkb / jax-wavelets
  The 2D discrete wavelet transform for JAX
  ☆43Updated 2 years ago
• gisilvs / AEF
  ☆33Updated 2 years ago
• layer6ai-labs / calo-forest
  A scalable implementation of diffusion and flow-matching with XGBoost models, applied to calorimeter data.
  ☆18Updated last year
• sidhu2690 / Deep-KAN
  This repository contains a better implementation of Kolmogorov-Arnold networks
  ☆63Updated 5 months ago
• vacquaviva / IntroConformalPredictions
  A short introduction to Conformal Prediction methods, with a few examples for classification and regression from the Astrophysical domain…
  ☆12Updated last year
• nmdwolf / ValidPredictionIntervals
  Contains the code to run the different models considered in the paper "Valid prediction intervals for regression problems"
  ☆22Updated 2 years ago