Charis's starred repositories
gp-saml-gui
Interactively authenticate to GlobalProtect VPNs that require SAML
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
private-ai
Repo for Udacity's Secure & Private AI course
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
markdown-here
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.
awesome-ocr
Links to awesome OCR projects
autocorrect
Python 3 Spelling Corrector
awesome-project-ideas
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
Data-Science
My notes pertaining to python programming, data analysis and visualization
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
awesome-python
An opinionated list of awesome Python frameworks, libraries, software and resources.
backgammon
Backgammon Game and RL Agents (based on TDGammon)
remote-jobs
A list of semi to fully remote-friendly companies (jobs) in tech.
Infrared-Camera-Person-Detection
Implementation of Low Resolution Person Detection with a Moving Thermal Infrared Camera by Hot Spot Classification
biaxial-rnn-music-composition
A recurrent neural network designed to generate classical music.
Machine-Learning
Implemented Naïve Bayes, Support Vector Machines, Random Forests to classify faces and documents and achieved 92% average accuracy using R and Python. Implemented EM algorithms to segment images in Python. Used TensorFlow framework to implement Convolution Neural Networks to recognize hand written digits from MNIST datasets and images from famous Cifar 10 datasets.
Classification-Algorithms
- Implemented classification algorithms of Naive Bayes, Neural Networks, Decision Tree and Random Forest on the biological and genomic dataset - Also explored the classification process using Support Vector Machine and Principal Component Analysis on external data for feature reduction and class label prediction from test data after effectively training on train data - Analyzed and compared the effectiveness of the algorithms in classification and label prediction
ML-Implementation-3
Boosted Decision Tree Classifier, Random Forest Classifier, Naive Bayes Implementation
random_naive_bayes
Python implementation of a random ensemble of naive bayes classifiers
CBIR-engine---matlab
using inria holiday's data, method HOG, MSER, GLCM