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james-fu's Projects

rcnn icon rcnn

implementations of Recurrent Convolutional Neural Network for object recognition

rcnn-1 icon rcnn-1

R-CNN: Regions with Convolutional Neural Network Features

recon icon recon

Personal Information Exfiltration Detection Using Machine Learning

reinforcement-learning icon reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

rogers icon rogers

Python command-line tool that uses nearest neighbor search methods for malware similarity analysis

rpm-ai-agent icon rpm-ai-agent

Code for an AI agent to solve Raven's Progressive Matrices using visual data.

rrcf icon rrcf

🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams

runaway_robot icon runaway_robot

My solution to the final project in Udacity's CS373 course - Artificial Intelligence for Robotics

sagemaker-fastai-example icon sagemaker-fastai-example

Example project showing how you can use your fast.ai based scripts to let Amazon SageMaker perform the training and hosting of your models

salary-prediction icon salary-prediction

Code for the Adzuna Salary Prediction Kaggle competition - http://www.kaggle.com/c/job-salary-prediction Placed 10th out of approximately 300 teams.

scikit-multiflow icon scikit-multiflow

A machine learning framework for multi-output/multi-label and stream data. Inspired by MOA and MEKA, following scikit-learn's philosophy.

seq2seq-web-attack-detection icon seq2seq-web-attack-detection

The implementation of the Seq2Seq model for web attack detection. The Seq2Seq model is usually used in Neural Machine Translation. The main goal of this project is to demonstrate the relevance of the NLP approach for web security.

skil_examples icon skil_examples

Public examples for the SKIL Platform (client examples, notebooks, etc). Versioned for each release.

stanford_dl_ex icon stanford_dl_ex

Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial

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