Anand Deshpande's Projects
Config files for my GitHub profile.
Based on advanced methods of statistical data analysis and stochastical simulation like e. g. kernel density estimation, the Bootstrap method, the creationof random numbers, the EM algorithm, survival analysis, the maximum-penalized-likelihood estimation and different test methods.
Minimal examples of data structures and algorithms in Python
:computer: Data Structures and Algorithms in Python
This repository contains best profile readme's for your reference.
BERT based co-reference resolution
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
My personal repository
Hands on Machine Learning Book
Teaching material for the Introduction to Python at the Data Science Retreat
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in biomedical applications.
OSMnx: Python for street networks. Retrieve, model, analyze, and visualize street networks and other spatial data from OpenStreetMap.
All Algorithms implemented in Python
Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.
Python tutorials as Jupyter Notebooks for NLP, ML, AI
Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs (EMNLP 2020)