astrogilda Goto Github PK
Name: Sankalp Gilda
Type: User
Bio: Machine Learning Engineer | Ph.D., Astronomy
Twitter: astrogilda
Location: Gainesville, FL
Name: Sankalp Gilda
Type: User
Bio: Machine Learning Engineer | Ph.D., Astronomy
Twitter: astrogilda
Location: Gainesville, FL
Mercari 1st place solution (kaggle)
Implementation of "MixMatch: A Holistic Approach to Semi-Supervised Learning" in TensorFlow 2.0
A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)
A package for Multiple Kernel Learning in Python
All my experiments with AI and ML
MlFinlab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
Course Material for the machine learning in financial context bootcamp
Extends scikit-learn with new models, transformers, metrics, plotting.
Machine Learning Tool Box
MoEx (Moment Exchange)
A multi-task learning example for the paper https://arxiv.org/abs/1705.07115
Simulating the combination of multiarm bandits with the Kelly criterion for portfolio allocation
Parallel t-SNE implementation with Python and Torch wrappers.
NeuralProphet: A simple forecasting package
A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right abstractions and design patterns to properly do AutoML. Let your pipeline steps have hyperparameter spaces. Enable checkpoints to cut duplicate calculations. Go from research to production environment easily.
Natural Gradient Boosting for Probabilistic Prediction
Extensible, parallel implementations of t-SNE
Code for Neural Information Processing Systems (NeurIPS) 2019 paper: Pareto Multi-Task Learning
Simple Tensorflow implementation of "Partial Convolution based Padding" (partialconv)
A New Padding Scheme: Partial Convolution based Padding
A repository for explaining feature attributions and feature interactions in deep neural networks.
Person Re-ranking (CVPR 2017)
Home of the PipeGraph extension to Scikit-Learn
Latex code for making neural networks diagrams
portion, a Python library providing data structure and operations for intervals.
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.