nikolaosdionelis2022

nikolaosdionelis2022's Stars

• nd1511/PythonProgramming

  Python Programming

  Language:Python286010

• nd1511/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

  aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

  Language:Jupyter Notebook21402

• nd1511/Proof-Of-Concept

  Proof Of Concept: Obtaining Graphs Like Fig. 4 in the Paper "Phase-Aware Single-Channel Speech Enhancement with Modulation-Domain Kalman Filtering"

  Language:MATLAB19202

• nd1511/OMASGAN_

  OoD Minimum Anomaly Score GAN - Code for the Paper 'OMASGAN: Out-of-Distribution Minimum Anomaly Score GAN for Sample Generation on the Boundary'

  Language:Python15301

• nd1511/PyTorch-Tutorial-1

  Build your neural network easy and fast

  Language:Jupyter Notebook14402

• nd1511/RepoRepository

  MyRepoRepository

  8200

• nd1511/coding-interview-university

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

  7200

• nd1511/lucid

  A collection of infrastructure and tools for research in neural network interpretability.

  Language:Jupyter Notebook7200

• nd1511/awesome-machine-learning

  A curated list of awesome Machine Learning frameworks, libraries and software.

  Language:Python620

• nd1511/dl-imperial-maths

  Code and assignment repository for the Imperial College Mathematics department Deep Learning course

  Language:Jupyter Notebook6201

• nd1511/mml-book.github.io

  Companion webpage to the book "Mathematics For Machine Learning"

  6201

• nd1511/pandas

  Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

  Language:Python620

• nd1511/phd-bibliography

  References on Optimal Control, Reinforcement Learning and Motion Planning

  620

• nd1511/PythonMachineLearning

  Practice and tutorial-style notebooks covering wide variety of machine learning techniques

  Language:Jupyter Notebook6201

• nd1511/vos

  source code for ICLR'22 paper "VOS: Learning What You Don’t Know by Virtual Outlier Synthesis"

  Language:Python400

• nd1511/gradnorm_ood

  On the Importance of Gradients for Detecting Distributional Shifts in the Wild

  Language:Python300

• nd1511/resume

  My resume

  Language:TeX300

• nikolaosdionelis2022/ModelSLX

  Proposed Model BSS

  1100