MTisMT

MTisMT's Stars

• MTisMT/GRANDE

  (ICLR 2024) GRANDE: Gradient-Based Decision Tree Ensembles

  Language:Jupyter Notebook1

• tradeset/tradeset-public

  Language:Python2

• tradeset/tradeset_notebooks

  Language:Jupyter Notebook2

• tblume1992/MFLES

  Language:Jupyter Notebook1074

• s-marton/GRANDE

  (ICLR 2024) GRANDE: Gradient-Based Decision Tree Ensembles

  Language:Jupyter Notebook706

• pytorch/serve

  Serve, optimize and scale PyTorch models in production

  Language:Java4.1k828

• erfanhamdi/pinn-torch

  Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose

  Language:Python345

• erfanhamdi/torch_PIV

  This code uses the pyTorch Conv2D modules to make the PIV algorithms work faster on GPU

  Language:Python61

• MTisMT/From_Scratch_ML

  Implementing Machine Learning algorithms from scratch to gain in-depth understanding about the foundations on which the algorithms are built.

  Language:Jupyter Notebook1

• AliHabibnia/Algorithmic_Trading_with_Python

  This comprehensive, hands-on course provides a thorough exploration into the world of algorithmic trading, aimed at students, professionals, and enthusiasts with a basic understanding of Python programming and financial markets.

  Language:Jupyter Notebook8418

• aaghamohammadi/pysolorie

  Orientation Analysis of Solar Panel

  Language:Python17

• frankl1/sast

  Scalable and Accurate Subsequence Transform

  Language:Jupyter Notebook4

• tgcsaba/KSig

  A scikit-learn compatible Python package for GPU-accelerated computation of the signature kernel using CuPy.

  Language:Jupyter Notebook182

• MucaCirone/Master_Thesis

  Code for my Master's Thesis

  Language:Jupyter Notebook2

• tgcsaba/seq2tens

  Seq2Tens: An efficient representation of sequences by low-rank tensor projections

  Language:Jupyter Notebook275

• scikit-learn-contrib/MAPIE

  A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.

  Language:Jupyter Notebook1.2k100

• mindsdb/mindsdb

  The platform for building AI from enterprise data

  Language:Python25.8k4.8k

• pykeras/BashUtils

  Language:Python191

• functime-org/functime

  Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.

  Language:Python98652

• Diyago/Tabular-data-generation

  We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.

  Language:Python51183

• aangelopoulos/conformal-prediction

  Lightweight, useful implementation of conformal prediction on real data.

  Language:Jupyter Notebook70981

• cure-lab/Awesome-time-series

  A comprehensive survey on the time series domains

  48742

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  25.9k2.2k

• aditya-grover/climate-learn

  Source code for ClimateLearn

  Language:Jupyter Notebook29448

• plasma-umass/scalene

  Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals

  Language:Python11.4k387

• practical-tutorials/project-based-learning

  Curated list of project-based tutorials

  185k24.2k

• christianversloot/machine-learning-articles

  🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

  3.3k707

• ARahimiQuant/finpy-tse

  A Python Package to Access Tehran Stock Exchange Historical and Real-Time Data

  Language:Python6113

• annkon22/Finance_python

  Language:Jupyter Notebook8

• 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:Python1.2k145