Bharath Ramsundar Claim this profile

Deep-learning models for Drug Discovery and Quantum Chemistry

conda build recipes for the Omnia project

First Order Solver for Semidefinite Programs

Autoencoder network for learning a continuous representation of molecular structures.

A C++ implementation of the berkeley lm library

Example code from the book "Deep Learning for the Life Sciences"

Inverse Kinematics Solver

Build a Jekyll blog in minutes, without touching the command line.

Catalog of Open Source Molecular Modeling Projects

scikit-learn: machine learning in Python

Deep Learning Tools for Biologic Design

Website for deepchem

A collaborative review of the emerging literature on diagnostics and treatments related to COVID-19

Source for Low Data Drug Discovery Paper

Official reference implementation for aragonOS

Graduate thesis work.

A Python-embedded modeling language for convex optimization problems.

CVXOPT -- Python Software for Convex Optimization

A conda-smithy repository for deepchem.

Hacking on Covid19 - images, text, and cases

Storing some dot config files.

An Implementation of homomorphic encryption

Ethereum fuzz testing framework

Engineering Specifications for the Computable Protocol

Generic dispute resolution layer for Truebit verification games

On-chain interpreter for WebAssembly written in Solidity

Proof of concept of basic math operation with Solidity

Minimum Viable Plasma Implementation

Ethereum Token Contracts

Incentive layer contracts and deployment information.

Javascript Developer library for interacting with Computable Protocol

Augur back-end (Ethereum contracts)

A generic token-curated registry

adChain registry smart contracts

Truebit Verification for Scrypt

Solidity contracts implementing the Datamined protocol

Simulated datasets of DNA

Easy CSV parsing

PhD Thesis

Edgeless Token Smart Contracts

Simple Data Science for Haskell

Haskell bindings for TensorFlow

Tensorflow singularity container

Bharath Ramsundar Blog

Computation using data flow graphs for scalable machine learning

Virtual screening and cheminformatics utilities

Convenience Utilities for virtual screening computations on clusters

Pande Lab/GAS collaboration

A modern, open library for the analysis of molecular dynamics trajectories

Utilities for working with the RDKit

Utilities for interacting with PubChem

hidden Markov models and mixture models

A Machine Learning library based on Theano

Efficient First Order Methods for Large-Scale Convex Optimization

Nacl Patches for Gromacs

Public/backup repository of the gromacs molecular simulation toolkit

Optimizing GPU-meta-programming code generating array oriented optimizing math compiler in Python

Systematic force field optimization.

No description.

A Simple Particle Filtering Tool