sarahrn

gpt-neo

An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

notes

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

deepracer-for-cloud

Creates an AWS DeepRacing training environment which can be deployed in the cloud, or locally on Ubuntu Linux, Windows or Mac.

deepracer-for-dummies

a quick way to get up and running with local deepracer training environment

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

exocortex-halo

Various and sundry additional pieces of software I've written to incorporate into my exocortex.

AnomalyDetection

Anomaly Detection with R

alpha-zero-general

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

rlkit

Collection of reinforcement learning algorithms

DeepRL-Robot-Arm

Deep reinforcement learning on NVIDIA Jetson tx2 with PyTorch, OpenAI Gym, and Gazebo robotics simulator.

StanfordDoggoProject

Stanford Doggo is an open source quadruped robot that jumps, flips, and trots!

bulk_mapper

Altdg bulk mapping tool for the merchant and domain mapper API https://developer.altdg.com/

ipython-notebooks

A collection of IPython notebooks covering various topics.

ros-tutorial-gazebo-simulation

ROS tutorial by Purdue SMART lab: Gazebo simulation - autonomous mobile robot navigation and creating custom robots and sensor plugins

Learning-Robotics-using-Python-Second-Edition

Codes of Learning Robotics using Python, Second Edition

iex_data

API for getting market data from IEX

pyEX

Python interface to IEX and IEX cloud APIs

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

keras-data-generator

Template for data generator in Keras

dist-keras

Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.

sagemaker-python-sdk

A library for training and deploying machine learning models on Amazon SageMaker

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Advanced-Deep-Learning-with-Keras

Advanced Deep Learning with Keras, published by Packt

numerauto

numerapi

Python API and command line interface for the numer.ai machine learning competition

tensorflow

An Open Source Machine Learning Framework for Everyone

fastai

The fastai deep learning library

text-classification-cnn