🚀✨ Help beginners to contribute to open source projects

This repository aims to compile a comprehensive list of technical questions commonly asked in job interviews for programming roles.

ZeroCostDL4Mic: A Google Colab based no-cost toolbox to explore Deep-Learning in Microscopy

BCCD (Blood Cell Count and Detection) Dataset is a small-scale dataset for blood cells detection.

The complete blood count (CBC) dataset contains a total of 360 blood smear images of red blood cells (RBCs), white blood cells (WBCs), and Platelets with annotations.

Method for detection and classification of cell death in Quantitative Phase images.

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

A place for Imagine fellows to practice take home tech assignments.

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

StarDist - Object Detection with Star-convex Shapes

An open-source application for biological image analysis

cell detection in calcium imaging recordings

a generalist algorithm for cellular segmentation with human-in-the-loop capabilities

Visualizer for neural network, deep learning and machine learning models

Time series classification and clustering code written in Python.

A complete computer science study plan to become a software engineer.

DBA: Averaging for Dynamic Time Warping

Python package for sequence (e.g. trend line, sentence, image) clustering

Automatic extraction of relevant features from time series:

The machine learning toolkit for time series analysis in Python

STUMPY is a powerful and scalable Python library for modern time series analysis

Deep Learning Models for the Early Detection of Parkinson’s Disease using the motor-based symptoms.

⚡ A Fast, Extensible Progress Bar for Python and CLI

A research project that aims to detect Parkinson's disease in patients using Gait Analysis data. Subsequently, the project may make use of Gait Data Analysis to make powerful inferences which would…

Deep 1D-Convnet for accurate Parkinson disease detection and severity prediction from gait

Resources I used for ML Engineer, Applied Scientist and Quant Researcher interviews.

Cinemagoer is a Python package useful to retrieve and manage the data of the IMDb (to which we are not affiliated in any way) movie database about movies, people, characters and companies