tlapusan's Stars
tlapusan/woodpecker
A python library used for tree structure interpretation.
parrt/dtreeviz
A python library for decision tree visualization and model interpretation.
langchain-ai/langchain
🦜🔗 Build context-aware reasoning applications
chaitjo/character-level-cnn
Keras implementation of Character-level CNN for Text Classification
tensorflow/decision-forests
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
seladb/StarTrack-js
GitHub star history and stats - based on JavaScript only!
matiassingers/awesome-readme
A curated list of awesome READMEs
eli5-org/eli5
A library for debugging/inspecting machine learning classifiers and explaining their predictions
fastai/course-nlp
A Code-First Introduction to NLP course
apache/zeppelin
Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more.
fastai/fastai
The fastai deep learning library
databricks/Spark-The-Definitive-Guide
Spark: The Definitive Guide's Code Repository
apache/spark
Apache Spark - A unified analytics engine for large-scale data processing
ansible/ansible-examples
A few starter examples of ansible playbooks, to show features and how they work together. See http://galaxy.ansible.com for example roles from the Ansible community for deploying many popular applications.
MirelaI/flask_heroku_example
How to deploy a Flask application using Heroku
databricks/spark-csv
CSV Data Source for Apache Spark 1.x
terryum/awesome-deep-learning-papers
The most cited deep learning papers
keras-team/keras
Deep Learning for humans
anurag/fastai-course-1
Docker environment for fast.ai Deep Learning Course 1 at http://course.fast.ai
fastai/courses
fast.ai Courses
BVLC/caffe
Caffe: a fast open framework for deep learning.
mnielsen/neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"