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accelerating-end-to-end-data-science-workflows

RAPIDS Community Notebooks

af-classification-from-a-short-single-lead-ecg-recording

This repos is to analysis Cardiologist-level arrhythmia based on paper source "Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network"

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

an_ml_pipeline_for_rental_prices_tracking

This repo to develop an end-to-end machine learning pipeline that uses to estimate the typical price for a given property based on the price of similar properties.

avuc

Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.

awesome-neural-ode

A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.

bayesian_inference_based_gnn

[Neurips2022] Understanding Non-linearity in Graph Neural Networks from the Perspective of Bayesian Inference

bayesiannetworks

An implement of BN for Covid-19 treatment system at a hospital

bayesianneuralnetwork-tutorial-metarepos

A meta repository pointing to the other repositories where the implementation of the supplementary examples for our tutorial "Hands-on Bayesian Neural Networks - A Tutorial for Deep Learning Users"

cbm_codes_open

This repository contains data and code that implement common machine learning algorithms for machinery condition monitoring task.

continuous-recurrent-units

data-curious

This repository includes my project, done during a Data Science Internship

data-science-competitions

Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).

deep-learning-in-production

Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.

deepaco

[NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization

deepbsde

Deep BSDE solver in TensorFlow

deeplearning-control

Neural ODEs and torchdiffeq to solve control problems such as LQR

deeplearning-stochasticcontrol

Bellman Equation, Pontryagin Maximum Principle, and Deep Learning to solve stochastic control problems

deeplearningexamples

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

deeplearningformdps

Some codes used for the numerical examples proposed in https://arxiv.org/abs/1812.05916

deepmatcher

The implementation of the paper: DeepMatcher: A Deep Transformer-based Network for Robust and Accurate Local Feature Matching

deepxde

A library for scientific machine learning and physics-informed learning

delay-sde-net

deploying_scalable_ml_pipeline_in_production

This repo to develop a classification model by applying unit tests to monitor the model performance on various slices of the data. Then, deploying the model using FastAPI package and create API tests. Both the slice-validation and the API tests will be incorporated into a CI/CD framework using GitHub Actions.

ds-challenge-t-cells-perturbation

This repo contains resources for Cancer Immunotherapy Data Science Grand Challenge

dva

echo_state_network_with_a_single_dynamical_node

Demonstration of reservoir computing using a single dynamical node as described in: https://www.nature.com/articles/ncomms1476

energy-forecasting

🌀 𝗧𝗵𝗲 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝟳-𝗦𝘁𝗲𝗽𝘀 𝗠𝗟𝗢𝗽𝘀 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 | Learn MLE & MLOps for free by designing, building and deploying an end-to-end ML batch system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 2.5 𝘩𝘰𝘶𝘳𝘴 𝘰𝘧 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 & 𝘷𝘪𝘥𝘦𝘰 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴

exploratory-data-analysis

This repository contains all the projects I completed during Data Analyst Nanodegree program

forced_alignment_pytorch

Forced Alignment using Speech to text approach