Pinned Repositories
AP_AL_TXTL
My AL implementation in Python (In Construction)
AP_Horvath_Active_Learning
A repo for backing up my development of an active learning stack using the Horvath Model
aperkins19
bayesian_protein_concentration_from_bradford
Brsynth_active_learning_cell_free
Scripts to perform active learning as described in the referenced article.
cricketsimulator
Docker-Image-Template-for-Python-Datascience
A generic Docker Package for building bespoke Python data science apps and running them in a mounted, open, dev container
Docker_GPU_python_datascience_jupyter_bespoke_packages
A docker template that GPU accelerated ML in python with Jupyter notebook and bespoke packages.
DOCKER_PACKAGE_FOR_BRADFORD_ASSAY_ANALYSIS
NLLAB_CFPS_Characterisation
Data Analysis Pipeline for standardised Charactisation of Cell-Free Protein Synthesis Systems.
aperkins19's Repositories
aperkins19/bayesian_protein_concentration_from_bradford
aperkins19/NLLAB_CFPS_Characterisation
Data Analysis Pipeline for standardised Charactisation of Cell-Free Protein Synthesis Systems.
aperkins19/AP_AL_TXTL
My AL implementation in Python (In Construction)
aperkins19/AP_Horvath_Active_Learning
A repo for backing up my development of an active learning stack using the Horvath Model
aperkins19/aperkins19
aperkins19/Brsynth_active_learning_cell_free
Scripts to perform active learning as described in the referenced article.
aperkins19/cricketsimulator
aperkins19/Docker-Image-Template-for-Python-Datascience
A generic Docker Package for building bespoke Python data science apps and running them in a mounted, open, dev container
aperkins19/Docker_GPU_python_datascience_jupyter_bespoke_packages
A docker template that GPU accelerated ML in python with Jupyter notebook and bespoke packages.
aperkins19/DOCKER_PACKAGE_FOR_BRADFORD_ASSAY_ANALYSIS
aperkins19/Docker_Package_for_R_and_Python
Data Analysis environment with Python and R installed on Ubuntu
aperkins19/Docker_Package_for_UV_VIS_Protein_concentration_determination
Determines mg/ml concs for elutions in the 96x well format. Refer to readmes for assumptions and usage.
aperkins19/Docker_template_python_datascience_jupyter_bespoke_packages
A generic Docker Template for building a bespoke python data science environment. Define your packages of choice and deploy a Jupyter Notebook with ease. 🖥️✨🌱
aperkins19/gaggiuino
A Gaggia Classic control project using microcontrollers.
aperkins19/Gaia
aperkins19/git_3_placeholder_project
A placeholder project to be used in the 3rd github tutorial
aperkins19/Git_Guide_for_Scientists
A beginners guide to using Git effectively in a Scientific workflow
aperkins19/gp_regression
A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)
aperkins19/me
aperkins19/ML
Machine Learning Projects
aperkins19/NLLAB_OT2_PCR
aperkins19/NLLAB_OT2_PURE
aperkins19/onedrive
#1 Free OneDrive Client for Linux
aperkins19/OpentronDev
Opentron Setup and Protocol Developments
aperkins19/OT-2_3D_Designs
3D Designs to be used with OT-2
aperkins19/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 ;)
aperkins19/pycmo
Command Modern Operations Learning Environment
aperkins19/SBSG_CPFS_datastack
aperkins19/Tutorials
Tutorials planning
aperkins19/Useful-Python
Contains useful scripts/ pieces of code.