Implementation of Denoising Diffusion Probabilistic Model in Pytorch
BoltzGen: Toward Universal Binder Design
AI molecular design tool for de novo design, scaffold hopping, R-group replacement, linker design and molecule optimization.
DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.
DeepInverse: a PyTorch library for solving imaging inverse problems using deep learning
[CVPR 2025, IJCV 2026] "A Distractor-Aware Memory for Visual Object Tracking with SAM2", "Distractor-Aware Memory-Based Visual Object Tracking"
Autoregressive video generation with decoupled context-writing and denoising parameters, enabling up to 24-hour generation from 5s training windows.
NVIDIA RTX Video Super Resolution for ComfyUI, optimized for long videos with disk-backed processing and low RAM usage. Supports AI upscaling, denoising, deblurring, H.264/HEVC NVENC encoding, audio preservation, and an integrated video preview.
One-click deterministic AI image denoise skill with fidelity guardrails