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Joshua Meier's Projects

baselines icon baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

becky icon becky

Bayesian Estimation of Coevolutionary KrYteria

ccbooleananalysis icon ccbooleananalysis

ccBooleanAnalysis is an open-source modeling system that can visualize biological networks as logic gate circuits, and vice-versa.

cs51-finalproject icon cs51-finalproject

Final project for CS51 by Joshua Meier, Elana Simon, Erik Godard, and Mandela Patrick

fairscale icon fairscale

PyTorch extensions for high performance and large scale training.

iwillnotprocrastinate icon iwillnotprocrastinate

Published on the App Store, iWillNotProcrastinate helps you to determine in which classes you procrastinate the most! Use iWillNotProcrastinate to isolate the problem, work on it, and track your progress over time!

kasim icon kasim

Command line stochastic simulator for kappa models. Documentation and binaries can be found in the release section below.

logical-clocks icon logical-clocks

We are building models of asynchronous distributed systems to experiment on multiple implementations of logical clocks.

megatron-lm icon megatron-lm

Ongoing research training transformer language models at scale, including: BERT & GPT-2

mujoco-py icon mujoco-py

MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.

opennmt-py icon opennmt-py

Open Source Neural Machine Translation in PyTorch

protein-ebm icon protein-ebm

Energy-based models for atomic-resolution protein conformations

provita-website icon provita-website

Provita is a bio-tech startup company comprised of students at the Bergen County Academies in Hackensack, NJ..

pyicloud icon pyicloud

A Python + iCloud wrapper to access iPhone and Calendar data.

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

reedsolomon icon reedsolomon

A pure-python universal Reed-Solomon encoder/decoder (errors-and-erasures)

tale_toolbox icon tale_toolbox

Generate reference sequences for TALEs built with the TALE Toolbox described in Sanjana et al., Nature Protocols (2012) and in Cong L, et al., Nature Communications (2012).

tape icon tape

Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.

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