Pinned Repositories
awesome-aws
A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome.
awesome-bigdata
A curated list of awesome big data frameworks, ressources and other awesomeness.
awesome-links
awesome-links
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
ds-template
Scaffold for new Data Science projects
laboratory
pyscaffoldext-dsproject
đź’« PyScaffold extension for data-science projects
urbs-time-varying-graph
Time Varying Graph Database
altierispeixoto's Repositories
altierispeixoto/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
altierispeixoto/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
altierispeixoto/awesome-machine-learning-interpretability
A curated list of awesome machine learning interpretability resources.
altierispeixoto/bit-of-data-science-and-scikit-learn
Youtube tutorial associated content
altierispeixoto/causal_inference_python_code
Python code for part 2 of the book Causal Inference, by Miguel Hernán and James Robins
altierispeixoto/DataAspirant_codes
Complete machine learning model codes
altierispeixoto/deep-learning-book
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
altierispeixoto/deep-learning-keras-tensorflow
Introduction to Deep Neural Networks with Keras and Tensorflow
altierispeixoto/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
altierispeixoto/deepLearningBook-Notes
Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
altierispeixoto/DLTFpT
Deep Learning with TensorFlow, Keras, and PyTorch
altierispeixoto/From-0-to-Research-Scientist-resources-guide
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
altierispeixoto/Intelligent-Projects-Using-Python
Intelligent Projects Using Python, published by Packt
altierispeixoto/Keras-Machine-Learning-Deep-Learning-Tutorial
altierispeixoto/M_Altieris2020
altierispeixoto/machine-learning
Content for Udacity's Machine Learning curriculum
altierispeixoto/mestrado
altierispeixoto/ML-From-Scratch
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 learning.
altierispeixoto/Optimization-Python
General optimization (LP, MIP, QP, continuous and discrete optimization etc.) using Python
altierispeixoto/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
altierispeixoto/py4fi2nd
Jupyter Notebooks and codes for Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch.
altierispeixoto/pygotham2018_graphmining
Large-scale Graph Mining with Spark
altierispeixoto/python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and sensitivity analysis.
altierispeixoto/Python-Feature-Engineering-Cookbook
Python Feature Engineering Cookbook, published by Packt
altierispeixoto/python-machine-learning-book-2nd-edition
The "Python Machine Learning (2nd edition)" book code repository and info resource
altierispeixoto/PythonDataScienceHandbook
Jupyter Notebooks for the Python Data Science Handbook
altierispeixoto/recommendation-engine-with-neo4j
Building a movie collaborative-filtering-based recommendation system with neo4j & python ...
altierispeixoto/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
altierispeixoto/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
altierispeixoto/validation
Overview of validation techniques