Alexander Logovinsky's repositories

fmriprephaifa

Neuroimaging Preprocessing Pipeline for Haifa University

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salient360Toolbox

Toolbox for processing, visualising, comparing and generating data related to gaze in 360 contexts (VR notably)

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shapash

đź”… Shapash makes Machine Learning models transparent and understandable by everyone

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plotly.py

The interactive graphing library for Python :sparkles: This project now includes Plotly Express!

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deepchecks

Tests for Continuous Validation of ML Models & Data. Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort.

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MAFAT_Challenge_Talk

The presentation and notebook presented in the MAFAT challenge meetup 01.02.2023

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psy_prep_data

Parser for data preprocessing

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black

The uncompromising Python code formatter

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slab_preprocessing

spy lab preprocessing app

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HCPpipelines

Processing pipelines for the HCP

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fmriprep

fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.

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MIMMRI

Attempts at using masked image modeling for MRI reconstruction. This repository makes use of modified SimMIM code and ViT and Swin encoder architectures. It also includes an unimplemented SwinRec encoder.

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Geospatial-Data-Science

Geospatial Data Science

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FairMOT

[IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking

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pytod_uh

TOD: GPU-accelerated Outlier Detection via Tensor Operations

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awesome-bash

A curated list of delightful Bash scripts and resources.

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400-Birds-Species-Classification

Classification of 400 birds species using Deep Learning

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mlflow

Open source platform for the machine learning lifecycle

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Zaloha2.sh

Small and simple directory synchronizer (a BASH script)

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pupil-size

Matlab scripts for preprocessing pupil size timeseries

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DL-for-LULC-prediction

This is the ResNet50 implementation of the Eurosat dataset.

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AI4Water

framework for developing machine (and deep) learning models for structured data

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project-based-learning

Curated list of project-based tutorials

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jetson-inference

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

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PaddleDetection

Object detection and instance segmentation toolkit based on PaddlePaddle.

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Dynamic-Trajectory-Predictor

Repo for the paper 'Forecasting Pedestrian Trajectory with Machine-Annotated Training Data'. IV 2019

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autoencoders_tensorflow

Automatic feature engineering using deep learning and Bayesian inference using TensorFlow.

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