dimitrisppt's Stars
appsmithorg/appsmith
Platform to build admin panels, internal tools, and dashboards. Integrates with 25+ databases and any API.
OpenBB-finance/OpenBB
Investment Research for Everyone, Everywhere.
dmlc/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
medusajs/medusa
Building blocks for digital commerce
EthicalML/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
fauxpilot/fauxpilot
FauxPilot - an open-source alternative to GitHub Copilot server
EpistasisLab/tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
AI4Finance-Foundation/FinRL
FinRL: Financial Reinforcement Learning. 🔥
py-why/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
adap/flower
Flower: A Friendly Federated Learning Framework
astropy/astropy
Astronomy and astrophysics core library
rom1504/img2dataset
Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.
deepchecks/deepchecks
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
dair-ai/ML-Notebooks
:fire: Machine Learning Notebooks
google-deepmind/alphatensor
abhishekkrthakur/colabcode
Run VSCode (codeserver) on Google Colab or Kaggle Notebooks
DLR-RM/rl-baselines3-zoo
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
uber/orbit
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
ARKInvest/ARK-Invest-Tesla-Valuation-Model
An excerpt from our financial valuation model of Tesla
deel-ai/xplique
👋 Xplique is a Neural Networks Explainability Toolbox
paulgavrikov/visualkeras
Visualkeras is a Python package to help visualize Keras (either standalone or included in TensorFlow) neural network architectures. It allows easy styling to fit most needs. This module supports layered style architecture generation which is great for CNNs (Convolutional Neural Networks), and a graph style architecture, which works great for most models including plain feed-forward networks.
cerlymarco/shap-hypetune
A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
Ekeany/Boruta-Shap
A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
google-deepmind/ithaca
Restoring and attributing ancient texts using deep neural networks
kansiris/SQL-interview-questions
List of Top 500 SQL Interview Questions & Answers with queries and more
parrt/msds621
Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning
dmlc/XGBoost.jl
XGBoost Julia Package
yu4u/cutout-random-erasing
Cutout / Random Erasing implementation, especially for ImageDataGenerator in Keras
areed1192/interactive-brokers-api
A python application used to interact with the Interactive Brokers REST API.
woofz/sqlmodel-basecrud
Simple package that provides base CRUD operations for your models.