MTisMT

MTisMT's Stars

• practical-tutorials/project-based-learning

  Curated list of project-based tutorials

  209k3.1k18627.3k

• google-research/tuning_playbook

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

  27.7k291432.3k

• mindsdb/mindsdb

  Platform for building AI that can learn and answer questions over federated data.

  Language:Python27k3994.1k4.9k

• plasma-umass/scalene

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

  Language:Python12.3k91477402

• pytorch/serve

  Serve, optimize and scale PyTorch models in production

  Language:Java4.2k571.6k867

• christianversloot/machine-learning-articles

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

  3.5k650743

• scikit-learn-contrib/MAPIE

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

  Language:Jupyter Notebook1.3k16257112

• 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

• functime-org/functime

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

  Language:Python1.1k1411159

• aangelopoulos/conformal-prediction

  Lightweight, useful implementation of conformal prediction on real data.

  Language:Jupyter Notebook806131189

• 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:Python52894382

• cure-lab/Awesome-time-series

  A comprehensive survey on the time series domains

  51722450

• aditya-grover/climate-learn

  Source code for ClimateLearn

  Language:Jupyter Notebook31864051

• 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 Notebook2208048

• tblume1992/MFLES

  Language:Jupyter Notebook112114

• s-marton/GRANDE

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

  Language:Jupyter Notebook89159

• ARahimiQuant/finpy-tse

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

  Language:Python7261412

• erfanhamdi/pinn-torch

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

  Language:Python41115

• tgcsaba/seq2tens

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

  Language:Jupyter Notebook28506

• tgcsaba/KSig

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

  Language:Jupyter Notebook235

• pykeras/BashUtils

  Language:Python20101

• aaghamohammadi/pysolorie

  Orientation Analysis of Solar Panel

  Language:Python19310

• annkon22/Finance_python

  Language:Jupyter Notebook8200

• erfanhamdi/torch_PIV

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

  Language:Python6101

• frankl1/sast

  Scalable and Accurate Subsequence Transform

  Language:Jupyter Notebook5300

• MucaCirone/Master_Thesis

  Code for my Master's Thesis

  Language:Jupyter Notebook210

• tradeset/tradeset-public

  Language:Python2000

• tradeset/tradeset_notebooks

  Language:Jupyter Notebook2000

• 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 Notebook1100

• MTisMT/GRANDE

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

  Language:Jupyter Notebook1000