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MaxLikelihood's Projects

algorithms icon algorithms

Minimal examples of data structures and algorithms in Python

amazon-sagemaker-examples icon amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

c-plus-plus icon c-plus-plus

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

chexnet-keras icon chexnet-keras

This project is a tool to build CheXNet-like models, written in Keras.

data-science-ipython-notebooks icon data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

deepiv icon deepiv

Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction

grf icon grf

Generalized Random Forests

incubator-mxnet icon incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

ios8-day-by-day icon ios8-day-by-day

Selection of projects accompanying the iOS8-Day-by-Day blog series http://www.shinobicontrols.com/iOS8DayByDay

java icon java

All Algorithms implemented in Java

keras-1 icon keras-1

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

lambda-refarch-imagerecognition icon lambda-refarch-imagerecognition

The Image Recognition and Processing Backend reference architecture demonstrates how to use AWS Step Functions to orchestrate a serverless processing workflow using AWS Lambda, Amazon S3, Amazon DynamoDB and Amazon Rekognition.

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