Pinned Repositories
cs-433-project-2-outliers
cs-433-project-2-outliers created by GitHub Classroom
cat_detector
CLIP_Explainability
code for studying OpenAI's CLIP explainability
dense_depth_priors_nerf
Dense Depth Priors for Neural Radiance Fields from Sparse Input Views
Efficient_AL_Pipeline
epic-guide.github.io
Guidebook for IC PhD life at EPFL
gelex
Higgs-Boson-Classification
In this project, we aim at solving the Higgs Boson classification.
RD-SuperPoint
This is a modified version of SuperPoint feature detector and descriptor, changed to be more robust to radial distortion.
Resource-Efficient-ML-Algorithm-for-On-Implant-Neurological-Symptom-Detection
In this project, we focus on developing an efficient Machine Learning model to process neural data in real time, with low power consumption, small on-chip area and fast inference.
sMamooler's Repositories
sMamooler/CLIP_Explainability
code for studying OpenAI's CLIP explainability
sMamooler/Efficient_AL_Pipeline
sMamooler/cat_detector
sMamooler/dense_depth_priors_nerf
Dense Depth Priors for Neural Radiance Fields from Sparse Input Views
sMamooler/epic-guide.github.io
Guidebook for IC PhD life at EPFL
sMamooler/gelex
sMamooler/Higgs-Boson-Classification
In this project, we aim at solving the Higgs Boson classification.
sMamooler/ImageJ_Plugin_Mitosis
sMamooler/RD-SuperPoint
This is a modified version of SuperPoint feature detector and descriptor, changed to be more robust to radial distortion.
sMamooler/Resource-Efficient-ML-Algorithm-for-On-Implant-Neurological-Symptom-Detection
In this project, we focus on developing an efficient Machine Learning model to process neural data in real time, with low power consumption, small on-chip area and fast inference.
sMamooler/GPT-NER
sMamooler/LLFF
Code release for Local Light Field Fusion at SIGGRAPH 2019
sMamooler/Megatron-LLM
distributed trainer for LLMs
sMamooler/mipnerf
sMamooler/nerf-pytorch
A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.
sMamooler/NerfingMVS
[ICCV 2021 Oral] NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo
sMamooler/OptML_course
EPFL Course - Optimization for Machine Learning - CS-439
sMamooler/PyHessian
PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks
sMamooler/pytorch-grad-cam
Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM
sMamooler/Ringier_Project
sMamooler/ScanNet
sMamooler/scipdf_parser
Python PDF parser for scientific publications: content and figures
sMamooler/Shape-of-Minima-of-Deep-Learning-Architectures-for-Sequence-Modelling
sMamooler/sMamooler.github.io_old
sMamooler/StoryGen
[CVPR 2024] Intelligent Grimm - Open-ended Visual Storytelling via Latent Diffusion Models
sMamooler/thesis_template
Template for EPFL (BSc, MSc, or doctoral) theses and semester projects
sMamooler/vision
Datasets, Transforms and Models specific to Computer Vision
sMamooler/vit-vs-cnn
Project of the course CS-503 "Visual intelligence: Machines & Minds" at EPFL 2021. Performance comparison of ViTs and CNNs on unsemantic distribution shifts (i.e. unseen classes).
sMamooler/Yet-Another-EfficientDet-Pytorch
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.