-
SIXT
- Bangalore, India
- in/atendrakumar
- @Atendra61752785
Stars
Convolutional Neural Networks to predict the aesthetic and technical quality of images.
Best Practices on Recommendation Systems
A curated list of awesome Deep Learning tutorials, projects and communities.
A curated list of awesome computer vision resources
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
A complete daily plan for studying to become a machine learning engineer.
Identification-of-lookalike-images-using-fuzzy-matching
"The mother of all demo apps" — Exemplary fullstack Medium.com clone powered by React, Angular, Node, Django, and many more
A game theoretic approach to explain the output of any machine learning model.
Recipes for using Python's pandas library
kunalj101 / pydata-book
Forked from wesm/pydata-bookMaterials for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
A curated list of awesome Machine Learning frameworks, libraries and software.
Unsupervised Language Modeling at scale for robust sentiment classification
Facilitating the design, comparison and sharing of deep text matching models.
An Open Source Machine Learning Framework for Everyone
atendra12 / Deep-Learning-Book-Chapter-Summaries
Forked from dalmia/Deep-Learning-Book-Chapter-SummariesAttempting to make the Deep Learning Book easier to understand
12th solution for the Otto Group Product Classification Challenge on Kaggle
Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave
Code for Kaggle Data Science Competitions
My solution for the Kaggle "Allen AI science challenge"
The "Python Machine Learning (1st edition)" book code repository and info resource
[DEPRECATED] See the new edition:
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
Models and examples built with TensorFlow
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Notebooks and code for the book "Introduction to Machine Learning with Python"