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Algorithms and data structures for preparing programming competitions: basic and advanced
Free Data Engineering course!
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 graphic…
Rich is a Python library for rich text and beautiful formatting in the terminal.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
This repository accompanies the book "Deep Learning for Vision Systems".
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
A repository to keep track of all the code that I end up writing for my blog posts.
This is a repo documenting the best practices in PySpark.
Apache Spark (PySpark) Practice on Real Data
A uniform interface to run deep learning models from multiple frameworks
Text preprocessing, representation and visualization from zero to hero.
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Avatars for Zoom, Skype and other video-conferencing apps.
Python code for "Probabilistic Machine learning" book by Kevin Murphy
agamtomar / learntools
Forked from Kaggle/learntoolsTools and tests used in Kaggle Learn exercises
List of all the lessons learned, best practices, and links from my time studying machine learning
A game theoretic approach to explain the output of any machine learning model.
agamtomar / tf-explain
Forked from sicara/tf-explainInterpretability Methods for tf.keras models with Tensorflow 2.0
A Python-embedded modeling language for convex optimization problems.
agamtomar / pyro
Forked from pyro-ppl/pyroDeep universal probabilistic programming with Python and PyTorch
A discrete event disaster recovery simulation built on top of the Simpy discrete event simulation Python library.
An EPANET compatible python package to simulate and analyze water distribution networks under disaster scenarios.
An object-oriented algebraic modeling language in Python for structured optimization problems.