⭐️ Companies that don't have a broken hiring process

Official code repository of paper titled "Test-Time Low Rank Adaptation via Confidence Maximization for Zero-Shot Generalization of Vision-Language Models"

[CVPR 2024] Zero-shot method for Vision-Language Models based on a robust formulation of the MeanShift algorithm for Test-time Augmentation (MTA).

This is official implementation of our KDD work

Dino V2 for Classification, PCA Visualization, Instance Retrival: https://arxiv.org/abs/2304.07193

CVPR 2022

official repo for Asyrp : Diffusion Models already have a Semantic Latent Space (ICLR2023)

Official code for NeurIPS 2023 paper "Self-Supervised Motion Magnification by Backpropagating Through Optical Flow"

A Prompt Log Analysis of Text-to-Image Generation Systems (WWW 2023)

A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.

Distributionally robust neural networks for group shifts

Pretrained Dalle2 from laion

MEGC2022

Discover and Cure: Concept-aware Mitigation of Spurious Correlation (ICML 2023)

An open source implementation of CLIP.

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Code for Debiasing Vision-Language Models via Biased Prompts

Code for the paper "Analyzing inverse problems with invertible neural networks." (2018)

A reproduced PyTorch implementation of the Adversarially Reweighted Learning (ARL) model, originally presented in "Fairness without Demographics through Adversarially Reweighted Learning".

Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows

⚡ A Fast, Extensible Progress Bar for Python and CLI

Framework for Easily Invertible Architectures

Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)

Code for the paper 'Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA' @ Neurips'21