pranaymodukuru

pranaymodukuru's Stars

• nteract/scrapbook

  A library for recording and reading data in notebooks.

  Language:Python28126

• raphaelvallat/pingouin

  Statistical package in Python based on Pandas

  Language:Python1.6k139

• automl/Auto-PyTorch

  Automatic architecture search and hyperparameter optimization for PyTorch

  Language:Python2.4k286

• doczjs/docz

  ✍ It has never been so easy to document your things!

  Language:TypeScript23.6k1.5k

• 8080labs/pyforest

  pyforest - feel the bliss of automated imports

  Language:Python1.1k196

• MathiasGruber/ProofOfConcept_MLOps

  Example MLOps using BentoML & mlFlow

  Language:HCL3716

• anuraghazra/github-readme-stats

  :zap: Dynamically generated stats for your github readmes

  Language:JavaScript69k22.8k

• github/copilot-docs

  Documentation for GitHub Copilot

  23.2k2.4k

• StepNeverStop/RLs

  Reinforcement Learning Algorithms Based on PyTorch

  Language:Python44893

• apache/plc4x

  PLC4X The Industrial IoT adapter

  Language:Java1.3k401

• dataiku-research/mealy

  Model Error Analysis for scikit-learn models.

  Language:Python28

• pytorch/captum

  Model interpretability and understanding for PyTorch

  Language:Python4.9k492

• Lightning-AI/torchmetrics

  Machine learning metrics for distributed, scalable PyTorch applications.

  Language:Python2.1k403

• pytorch/glow

  Compiler for Neural Network hardware accelerators

  Language:C++3.2k690

• Lightning-AI/tutorials

  Collection of Pytorch lightning tutorial form as rich scripts automatically transformed to ipython notebooks.

  Language:Python28680

• https-deeplearning-ai/machine-learning-engineering-for-production-public

  Public repo for DeepLearning.AI MLEP Specialization

  Language:Jupyter Notebook1.9k2.4k

• reinforcement-learning-kr/lets-do-irl

  Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)

  Language:Python698113

• MaxBenChrist/awesome_time_series_in_python

  This curated list contains python packages for time series analysis

  2.1k368

• automl/auto-sklearn

  Automated Machine Learning with scikit-learn

  Language:Python7.6k1.3k

• pyaf/load_forecasting

  Forecasting electric power load of Delhi using ARIMA, RNN, LSTM, and GRU models

  Language:Jupyter Notebook498159

• voila-dashboards/voila

  Voilà turns Jupyter notebooks into standalone web applications

  Language:Python5.4k504

• orico/www.mlcompendium.com

  The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to expand my knowledge, it is now an open knowledge-sharing project compiled using Gitbook.

  2.1k226

• netneurolab/suarez_neuromorphicnetworks

  Code supporting Suarez et al., 2021 "Learning function from structure in neuromorphic networks". ()

  Language:Python5314

• 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.

  Language:Python7.1k927

• ReceiptManager/receipt-parser-legacy

  A supermarket receipt parser written in Python using tesseract OCR

  Language:Python812196

• google/model_search

  Language:Python3.3k460

• skorch-dev/skorch

  A scikit-learn compatible neural network library that wraps PyTorch

  Language:Jupyter Notebook5.8k390

• sedelmeyer/wasserstein-auto-encoder

  A brief tutorial on the Wasserstein auto-encoder

  Language:Jupyter Notebook8420

• facebookresearch/Kats

  Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

  Language:Python4.9k538

• pyenv/pyenv-virtualenv

  a pyenv plugin to manage virtualenv (a.k.a. python-virtualenv)

  Language:Shell6.3k400