gabrielpreda

gabrielpreda's Stars

• visenger/awesome-mlops

  A curated list of references for MLOps

  12.7k398161.9k

• abhishekkrthakur/colabcode

  Run VSCode (codeserver) on Google Colab or Kaggle Notebooks

  Language:Python2.1k2078277

• abhishekkrthakur/tez

  Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle over 90% of deep learning projects in PyTorch.

  Language:Python1.2k1741144

• gwinndr/MusicTransformer-Pytorch

  MusicTransformer written for MaestroV2 using the Pytorch framework for music generation

  Language:Python2431948

• abhishekkrthakur/greedyFeatureSelection

  greedy feature selection based on ROC AUC

  Language:Python1257065

• PacktPublishing/Developing-Kaggle-Notebooks

  Language:Jupyter Notebook1146140

• AashitaK/bubbly

  A python package for plotting animated and interactive bubble charts using Plotly

  Language:Python48238

• gabrielpreda/Support-Tickets-Classification

  This case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en

  Language:Python5366

• DenisAlicic/MATF-Racunarska-inteligencija

  Materials for course Computational intelligence, held by me in 2019/2020, at Faculty of Mathematics, University of Belgrade

  Language:HTML4104

• DenisAlicic/Face-emotions

  One solution for Kaggle challenge "Facial Expression Recognition"

  Language:Python2100

• StefanCobeli/Deep-Reinforcement-Learning-for-Partially-Observable-Multi-Agent-problems

  Computer Science Bachelor Thesis code repository

  Language:Jupyter Notebook2200

• gabrielpreda/dexonline

  The software behind dexonline.ro.

  Language:PHP1200

• gabrielpreda/discover_feature_relationships

  Exploratory code to see if we can learn about feature relationships in a DataFrame using machine learning

  Language:Jupyter Notebook1200

• gabrielpreda/erlang_tutorial

  Erlang OTP tutorial - only learning material

  Language:Erlang1200

• gabrielpreda/flask_example

  Example for creating a minimal API using Flask to expose a Python model

  Language:Python120

• gabrielpreda/opencv

  Open Source Computer Vision Library

  Language:C++110

• mihaidobri/decision_making_app

  AI to help you in making better decisions

  Language:Jupyter Notebook12120

• vladosen/Support-Tickets-Classification

  This case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en

  Language:Python110