vinayprabhu / Network_Science_Meets_Deep_LearningLinks
Designing Deep neural network architectures using topologies from the world of Complex Networks/network Science
☆91Updated 6 years ago
Alternatives and similar repositories for Network_Science_Meets_Deep_Learning
Users that are interested in Network_Science_Meets_Deep_Learning are comparing it to the libraries listed below
Sorting:
- Ordinal Regression tutorial for the International Summer School on Deep Learning 2019☆70Updated 6 years ago
- ☆49Updated 5 years ago
- Machine learning algorithms☆113Updated 6 years ago
- ☆64Updated 7 years ago
- ☆107Updated 7 years ago
- Tutorial on interpreting and understanding machine learning models☆69Updated 6 years ago
- Contains benchmarking and interpretability experiments on the Adult dataset using several libraries☆35Updated 6 years ago
- Representing research papers as vectors / latent representations.☆198Updated 4 years ago
- Wining solution and its further development for MICCAI 2017 Endoscopic Vision Challenge Angiodysplasia Detection and Localization☆16Updated 6 years ago
- This code was developed for the Intro to GANs workshop for Machine Learning Tokyo (MLT).☆66Updated 6 years ago
- Repo for the course "Fundamentals of Deep Learning with Pytorch"☆39Updated 3 years ago
- Code examples for my Interpretable Machine Learning Blog Series☆57Updated 4 years ago
- ☆52Updated 7 years ago
- In which I try to demystify the fundamental concepts behind Bayesian deep learning.☆123Updated 7 years ago
- A flexible neural network framework for running experiments and trying ideas.☆81Updated 5 years ago
- Lightweight, Python library for fast and reproducible experimentation☆136Updated 6 years ago
- a machine learning dashboard that displays hyperparameter settings alongside visualizations, and logs the scientist's thoughts throughout…☆128Updated 2 years ago
- A Browser Extension That Notifies You When Jupyter Notebook Code Cells Terminate☆45Updated 5 years ago
- Experiment orchestration☆102Updated 5 years ago
- DeepSuperLearner - Python implementation of the deep ensemble algorithm☆135Updated 7 years ago
- Various ML/DL Resources organised at a single place.☆189Updated 4 years ago
- a python based module (bot) to generate kaggle baseline kernels☆26Updated 6 years ago
- Training time estimation for scikit-learn algorithms☆124Updated 4 years ago
- This contains materials for the word embeddings workshop☆127Updated 8 years ago
- Material for the Big Data Analytics exercise classes - INFOH515 - Big Data : Distributed Data Management and Scalable Analytics - Univers…☆59Updated 3 years ago
- 🔥 Introductory PyTorch tutorials with OReilly Media.☆58Updated 3 years ago
- Presented at Scipy Conference 2019☆127Updated 5 years ago
- A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.☆102Updated 3 years ago
- Streamlined machine learning experiment management.☆107Updated 5 years ago
- Measure and visualize machine learning model performance without the usual boilerplate.☆97Updated 11 months ago