Takshan's Projects
Official implementation of "Generating 3D Molecules for Target Protein Binding" [ICML2022 Long Presentation]
A collection of succinct guides - Public Domain
Hands-On Genetic Algorithms with Python, Published by Packt
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
HashLips Art Engine is a tool used to create multiple different instances of artworks based on provided layers.
Code for "HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields".
Lab Materials for MIT 6.S191: Introduction to Deep Learning
A docker-compose file for launching Jupyter Notebooks in a container.
K3D lets you create 3D plots backed by WebGL with high-level API (surfaces, isosurfaces, voxels, mesh, cloud points, vtk objects, volume renderer, colormaps, etc). The primary aim of K3D-jupyter is to be easy for use as stand alone package like matplotlib, but also to allow interoperation with existing libraries as VTK.
Quickest way to share everything about your research within a single app
An implementation of the Latent Gan as discribed in the publication [cite]
Comprehensive library for fast, GPU accelerated molecular gridding for deep learning workflows
Extract ligands from original PDB file
Deep generative models of 3D grids for structure-based drug discovery
Scripts to install all packages needed to setup personalized linux environment
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
Molecular dynamics workflow framework in python.
Business Hugo template
12 weeks, 24 lessons, classic Machine Learning for all
Machine learning glossary
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Learning Machine Learning
A package to identify matched molecular pairs and use them to predict property changes.