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Name: David Higgins
Type: User
Bio: Numerical scientist, specialising in high-performance numerical simulations and inference models. Currently working on Causality Theory and out-of-sample AI/ML.
Location: Berlin, Germany
Name: David Higgins
Type: User
Bio: Numerical scientist, specialising in high-performance numerical simulations and inference models. Currently working on Causality Theory and out-of-sample AI/ML.
Location: Berlin, Germany
matplotlib: plotting with Python
Multi-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit
LLM finetuned for medical question answering
Numerical integration of mean-field equations for large-scale leaky integrate-and-fire neuronal network simulations incorporating synaptic plasticity via Graupner Brunel model. Includes support for a memory-induction stim-pop.
Find the optimal time to schedule a meetup
Jupyter Notebook Conversion
Preparatory Materials, Self-guided Learning, and Project Management for Neuromatch Academy activities
Numpy main repository
OpenCL Julia bindings
Some basic c-tools for querying an OpenCL installation.
An online study guide for the SOA's predictive analytics exam.
Parallel-fibre to Purkinje cell plasticity simulator. Multiple optimisation functions incorporated to fit model to experimental data.
Latex code for making neural networks diagrams
Slides and code for PyData Berlin 2017, Introduction to Julia, tutorial.
Collection of pointers to slides and repositories from speakers at PyData Berlin 2016
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
DOCUMENTATION:
A LLM based research assistant that allows you to have a conversation with a research paper
Public talks by Machinalis
Open Source Continuous File Synchronization
:money_with_wings: :chart_with_upwards_trend: :rocket: Tech and Funding Toolkit
Toolbox - generic utilities for data processing (e.g., parsing, proximity, guild scoring, etc...)
UCIDataScienceInitiative workshop website
Visualize and turn the knobs on venture financing concepts such as dilution, option pools, liquidation preferences, down-rounds, and more!
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.