hash-ir
Building connectomics toolkits and pipelines at @StructuralNeurobiologyLab
Max Planck Institute for Biological IntelligenceMunich, Germany
Pinned Repositories
case-study
Case Study for Data Analysis & Visualization in R
chill-me-out
A smart IntelliJ plugin providing real time feedback on a user's stress levels while coding. Made by the students of Department of Informatics at Technical University of Munich in hackaTUM 2019
Dog-Breed-Classifier
Deep Learning Nanodegree Project 2 | Dog Breed Classifier
Emotion-Recognition
Real-time implementation of emotion recognition using PyTorch and OpenCV
Generate-Faces
Deep Learning Nanodegree Project 4 | Generate Faces
hash-ir
Profile readme
hash-ir.github.io
Published with Jekyll, Lanyon and GitHub Pages.
Python
All Algorithms implemented in Python
transformer-lab
Hands-on implementation of transformer and related models
SyConn-Neuroglancer
Adaptation of the WebGL-based volumetric viewer https://github.com/google/neuroglancer. Provides an analysis interface for filtering neurons based on properties, the identification of pre- and postsynaptic neurons or the listing of different cell types
hash-ir's Repositories
hash-ir/chill-me-out
A smart IntelliJ plugin providing real time feedback on a user's stress levels while coding. Made by the students of Department of Informatics at Technical University of Munich in hackaTUM 2019
hash-ir/Emotion-Recognition
Real-time implementation of emotion recognition using PyTorch and OpenCV
hash-ir/Dog-Breed-Classifier
Deep Learning Nanodegree Project 2 | Dog Breed Classifier
hash-ir/Facial-Keypoints-Detection
Real-time implementation of facial keypoints detection using PyTorch and OpenCV
hash-ir/Predicting-Bike-Sharing-Patterns
Deep Learning Nanodegree Project 1 | Predicting Bike Sharing Patterns
hash-ir/sagemaker-deployment
Code and associated files for the deploying ML models within AWS SageMaker
hash-ir/torchlayers
Shape inference for PyTorch (like Keras) & new layers
hash-ir/ud777-writing-readmes
Supplemental material for Udacity's "Writing READMEs" course