Pinned Repositories
AC297r_2019_Kensho
Template for AC297r projects
adventures-in-ml-code
This repository holds all the code for the site http://www.adventuresinmachinelearning.com
AI-Blocks
A powerful and intuitive WYSIWYG interface that allows anyone to create Machine Learning models!
aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
allennlp
An open-source NLP research library, built on PyTorch.
APM_Exercises
Exercises for the book Applied Predictive Modeling by Kuhn and Johnson (2013)
wojohowitz00's Repositories
wojohowitz00/decaNLP
The Natural Language Decathlon: A Multitask Challenge for NLP
wojohowitz00/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
wojohowitz00/eli5
A library for debugging/inspecting machine learning classifiers and explaining their predictions
wojohowitz00/hub
A library for transfer learning by reusing parts of TensorFlow models.
wojohowitz00/StackNN
A PyTorch implementation of differentiable stacks for use in neural networks.
wojohowitz00/auto-sklearn
wojohowitz00/tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
wojohowitz00/nlp-architect
NLP Architect by Intel AI Lab: Python library for exploring the state-of-the-art deep learning topologies and techniques for natural language processing and natural language understanding
wojohowitz00/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
wojohowitz00/mltest
Testing framework to simplify writing ML unit tests.
wojohowitz00/machine-learning-for-software-engineers
A complete daily plan for studying to become a machine learning engineer.
wojohowitz00/mlcourse_open
OpenDataScience Machine Learning course. Both in English and Russian
wojohowitz00/moa
MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.
wojohowitz00/TensorComprehensions
A domain specific language to express machine learning workloads.
wojohowitz00/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
wojohowitz00/sparklyr
R interface for Apache Spark
wojohowitz00/nlp-datasets
Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)
wojohowitz00/tensorflow
TensorFlow for R
wojohowitz00/featuretools
automated feature engineering
wojohowitz00/ray
A high-performance distributed execution engine
wojohowitz00/Data_Science_Fundamentals
wojohowitz00/paip-lisp
Lisp code for the textbook "Paradigms of Artificial Intelligence Programming"
wojohowitz00/skift
scikit-learn wrappers for Python fastText.
wojohowitz00/catboost
CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R
wojohowitz00/keras
Deep Learning for humans
wojohowitz00/spark-nlp
Natural Language Understanding Library for Apache Spark.
wojohowitz00/pymc3
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano
wojohowitz00/pyprobml
Python code for "Machine learning: a probabilistic perspective"
wojohowitz00/BayesianOptimization
A Python implementation of global optimization with gaussian processes.
wojohowitz00/data
Data and code behind the articles and graphics at FiveThirtyEight