Avishek (Joey) Bose

decaf. Python

gfm. Generalised Flow Maps official implementation (ICLR 2026).

flow-maps. Official codebase for the paper "How to build a consistency model: Learning flow maps via self-distillation" (NeurIPS 2025).

pita. Code for the paper Progressive Inference-Time Annealing of Diffusion Models for Sampling from Boltzmann Densities.

Path-Planning. Python package for P2 (Path Planning), a masked diffusion model sampling method for sequence generation (protein, text, etc.).

super-diffusion. The Superposition of Diffusion Models Using the Itô Density Estimator

GGM_LOG_Tutorial. Geometric Generative Model Tutorial at LoG 2024

metric-flow-matching. Official implementation of Metric Flow Matching (NeurIPS 2024)

fisher-flow. Official implementation of Fisher-Flow Matching (NeurIPS 2024).

DEM. Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.

plaid. Python

fld. PyTorch code for FLD (Feature Likelihood Divergence), FID, KID, Precision, Recall, etc. using DINOv2, InceptionV3, CLIP, etc.

FoldFlow. FoldFlow: SE(3)-Stochastic Flow Matching for Protein Backbone Generation

conditional-flow-matching. TorchCFM: a Conditional Flow Matching library

comp760_lecturenotes. COMP760 Lecture Notes

Adversarial-Example-Games. Code for Adversarial Example Games NeurIPS 2020 Paper

KnowRef. Python

pytorch_geometric. Graph Neural Network Library for PyTorch

jinrc. Jin's vimrc

simple-faster-rcnn-pytorch. A simplified implemention of Faster R-CNN that replicate performance from origin paper