DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking

gcorso/diffdock 4 Oct 2022

Predicting the binding structure of a small molecule ligand to a protein -- a task known as molecular docking -- is critical to drug design.

Blind Docking

125
3.13 stars / hour

Is Reinforcement Learning (Not) for Natural Language Processing?: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization

allenai/rl4lms 3 Oct 2022

To help answer this, we first introduce an open-source modular library, RL4LMs (Reinforcement Learning for Language Models), for optimizing language generators with RL.

Decision Making Policy Gradient Methods +2

91
1.71 stars / hour

DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

XavierXiao/Dreambooth-Stable-Diffusion 25 Aug 2022

Once the subject is embedded in the output domain of the model, the unique identifier can then be used to synthesize fully-novel photorealistic images of the subject contextualized in different scenes.

Image Generation

2,240
1.28 stars / hour

Protein structure generation via folding diffusion

microsoft/foldingdiff 30 Sep 2022

The ability to computationally generate novel yet physically foldable protein structures could lead to new biological discoveries and new treatments targeting yet incurable diseases.

Denoising Protein Structure Prediction

111
1.25 stars / hour

Offline Reinforcement Learning with Implicit Q-Learning

tinkoff-ai/CORL 12 Oct 2021

The main insight in our work is that, instead of evaluating unseen actions from the latest policy, we can approximate the policy improvement step implicitly by treating the state value function as a random variable, with randomness determined by the action (while still integrating over the dynamics to avoid excessive optimism), and then taking a state conditional upper expectile of this random variable to estimate the value of the best actions in that state.

Offline RL Q-Learning +1

138
1.05 stars / hour

GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images

nv-tlabs/GET3D 22 Sep 2022

As several industries are moving towards modeling massive 3D virtual worlds, the need for content creation tools that can scale in terms of the quantity, quality, and diversity of 3D content is becoming evident.

1,784
1.03 stars / hour

VToonify: Controllable High-Resolution Portrait Video Style Transfer

williamyang1991/vtoonify 22 Sep 2022

Although a series of successful portrait image toonification models built upon the powerful StyleGAN have been proposed, these image-oriented methods have obvious limitations when applied to videos, such as the fixed frame size, the requirement of face alignment, missing non-facial details and temporal inconsistency.

Face Alignment Style Transfer +1

690
0.91 stars / hour
770
0.89 stars / hour

Min-Max Similarity: A Contrastive Semi-Supervised Deep Learning Network for Surgical Tools Segmentation

angeloucn/min_max_similarity 29 Mar 2022

To address this issue, we proposed a semi-supervised segmentation network based on contrastive learning.

Contrastive Learning Video Segmentation +1

235
0.89 stars / hour

Human Motion Diffusion Model

guytevet/motion-diffusion-model 29 Sep 2022

In this paper, we introduce Motion Diffusion Model (MDM), a carefully adapted classifier-free diffusion-based generative model for the human motion domain.

Motion Synthesis

442
0.83 stars / hour