paulgfahey

paulgfahey's Stars

• awesome-selfhosted/awesome-selfhosted

  A list of Free Software network services and web applications which can be hosted on your own servers

  210k2.7k80310k

• calcom/cal.com

  Scheduling infrastructure for absolutely everyone.

  Language:TypeScript33.2k1617k8.3k

• openai/CLIP

  CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

  Language:Jupyter Notebook26.7k3254053.4k

• kuchin/awesome-cto

  A curated and opinionated list of resources for Chief Technology Officers, with the emphasis on startups

  26.1k711111.5k

• pytest-dev/pytest

  The pytest framework makes it easy to write small tests, yet scales to support complex functional testing

  Language:Python12.3k1955.9k2.7k

• activeloopai/deeplake

  Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai

  Language:Python8.3k91465632

• ZohaibAhmed/ChatGPT-Google

  Chrome Extension that Integrates ChatGPT (Unofficial) into Google Search

  Language:JavaScript51010552

• graphfoundation/ongdb

  ONgDB is an independent fork of Neo4j® Enterprise Edition version 3.4.0.rc02 licensed under AGPLv3 and/or Community Edition licensed under GPLv3

  Language:Java391304158

• cortex-lab/phy

  phy: interactive visualization and manual spike sorting of large-scale ephys data

  Language:Python330261.1k161

• shauryr/S2QA

  Get answers to research questions from 200M+ papers. Link to demo -

  Language:Jupyter Notebook2053422

• Blueteak/Unity-Neural-Network

  Simple neural network implemented in C# for Unity3D

  Language:C#20124347

• zhongkaifu/Seq2SeqSharp

  Seq2SeqSharp is a tensor based fast & flexible deep neural network framework written by .NET (C#). It has many highlighted features, such as automatic differentiation, different network types (Transformer, LSTM, BiLSTM and so on), multi-GPUs supported, cross-platforms (Windows, Linux, x86, x64, ARM), multimodal model for text and images and so on.

  Language:C#200236039

• janelia-flyem/dvid

  Distributed, Versioned, Image-oriented Dataservice

  Language:Go1981931733

• micro-manager/pycro-manager

  Python control of micro-manager for customized data acquisition

  Language:Jupyter Notebook165829452

• python-microscope/microscope

  Python library for control of microscope devices, supporting hardware triggers and distribution of devices over the network for performance and flexibility.

  Language:Python751725042

• daviddmc/NeSVoR

  NeSVoR is a package for GPU-accelerated slice-to-volume reconstruction.

  Language:Python7431917

• schnitzer-lab/EXTRACT-public

  EXTRACT is a tractable and robust automated cell extraction tool for calcium imaging, which extracts the activities of cells as time series from both one-photon and two-photon calcium imaging movies.

  Language:MATLAB67132718

• Whitlock-Group/HERBS

  Language:Python51309

• project-improv/improv

  Adaptive Platform for Neuroscience Experiments

  Language:Python3956313

• TetsuyaOdaka/texture-synthesis-portilla-simoncelli

  Language:Python26345

• SWC-Advanced-Microscopy/Python_DAQmx_examples

  DAQmx Examples using Python with NI's nidaqmx package

  Language:Python12523

• DombeckLab/IMRSIV

  Language:C#10201

• CAVEconnectome/ImageryClient

  Publication-ready visualization of overlays of imagery and segmentation from cloudvolume data

  Language:Python9322

• hangyabalazs/Rodent_behavior_setup

  Useful parts for rodent behavior and electrophysiology experiments.

  Language:MATLAB7200

• dandi/example-notebooks

  Language:Jupyter Notebook671216

• DodsonLab/WaterR

  WaterR is a device for controlling fluid intake in experimental rodents

  Language:C++400

• reiserlab/Modular-LED-Display

  This repository collects many existing repositories for Modular LED Displays as submodules and generates a consistent documentation from it. Modular LED Displays are customized display systems used in neuroscientific studies. The displays were initially developed for fly vision, where temporal, spatial, and wavelength sensitivity requires specialized stimuli presentation systems.

  Language:HTML43342

• aelindeman/kubernetes-at-home

  A curated list of tools to make getting started with Kubernetes easier

  31

• AdrianRoggenbach/adrian_sensorium

  Private fork of Sensorium challenge repository

  Language:Jupyter Notebook21

• catalystneuro/MICrONS-to-nwb

  Language:Python1414