Official repo for consistency models.

HAAS = Hierarchical Autonomous Agent Swarm - "Resistance is futile!"

📈 Adaptive: parallel active learning of mathematical functions

Code release for "Cut and Learn for Unsupervised Object Detection and Instance Segmentation" and "VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation"

v objective diffusion inference code for PyTorch.

Action that converts TODO comments to GitHub issues on push.

NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels

[CVPR 2023 - Highlight] Accelerated Coordinate Encoding (ACE): Learning to Relocalize in Minutes using RGB and Poses

Code for ICML 2023 paper, "PFGM++: Unlocking the Potential of Physics-Inspired Generative Models"

A minimal implementation of diffusion models for text generation

Towards Unified Keyframe Propagation Models

v objective diffusion inference code for JAX.

Adding positional encoding to the input preserves sharp edges in the image

PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.

Implementation of denoising diffusion models with schedules, improved sampling, and other extensions using Keras.

Differentiable Algorithms and Algorithmic Supervision.

Official implementation for the paper "A Cheaper and Better Diffusion Language Model with Soft-Masked Noise"

[ICLR'23 Spotlight] gDDIM: analyze and accelerate general diffusion models, isotropic and non-isotropic

Code for MarioNette: Self-Supervised Sprite Learning, in NeurIPS 2021

Double Deep Q-Learning with Prioritized Experience Replay

Explorations with Geoffrey Hinton's Forward Forward algoithm

Official PyTorch Implementation of Exploring Stochastic Autoregressive Image Modeling for Visual Representation, Accepted by AAAI 2023.

Tensorflow implementation of Lambert W function

A minimal implementation of diffusion models for text generation

Model weights and network implementation to reproducibility of the paper "Synthetic gaze data augmentation for improved user calibration"

Boosting the Performance of Generic Deep Neural Network Frameworks with Log-supermodular CRFs