Nazir Nayal's repositories
UEM-likelihood-ratio
Official Code for "A Likelihood Ratio-Based Approach to Segmenting Unknown Objects"
mathematical-endeavors
Implementations of Maths Algorithms related to Machine Learning in the hope of understanding them better
cvad-sp22-hw3
Solution to HW3 of CVAD Course Spring 2022 - Optical low and Visual Odometry
Standardized-max-logits
Official PyTorch implementation of paper: Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation (ICCV 2021 Oral Presentation)
cvpr-latex-template
Extended LaTeX template for CVPR/ICCV papers
Deformable-DETR
Deformable DETR: Deformable Transformers for End-to-End Object Detection.
FASeg
This is the official PyTorch implementation for "Dynamic Focus-aware Positional Queries for Semantic Segmentation".
fishyscapes
Benchmark for Anomaly Detection in Semantic Segmentation
good
[ICLR'23] GOOD: Exploring Geometric Cues for Detecting Objects in an Open World
jax-vqvae-gpt
Implementation of VQ-VAE with a GPT-style sampler in the JAX and Haiku ecosystem.
Mask2Former
Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"
mvsplat
🌊 [ECCV'24 Oral] MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images
nazirnayal.github.io
My Personal Website
nuscenes-devkit
The devkit of the nuScenes dataset.
OneFormer
[Preprint] OneFormer: One Transformer to Rule Universal Image Segmentation, 2022
ProtoSeg
CVPR2022 (Oral) - Rethinking Semantic Segmentation: A Prototype View
PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
score_sde_pytorch
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
selim-algorithms
Learning Algorithms
siren
source code for NeurIPS'22 paper "SIREN: Shaping Representations for Detecting Out-of-Distribution Objects"
ViT-Adapter
Vision Transformer Adapter for Dense Predictions