AlexisDrch
MSCS, Georgia Tech. Previously Research Intern in Deep Learning, Machine Learning at GoPro.
Pinned Repositories
Ask
A platform to rent & sell items
Computer-Vision
Computer Vision @GTech MSCS
Data-Hunter
DataHunter is a module that acts as a black-box extracting sense to a dataset (an array of JavaScript objects) using k-means and data-analysis algorithms.
Data-Mining
Projects of Machine Learning and DataMining - course followed at Université de Technologie de Compiegne (UTC) France.
Deep-Learning
Deep Learning models with vanilla & PyTorch implementations. Projects, Research, Theory and homeworks
Machine-Learning
Performance analysis of Decisions Trees, Boosting & Bagging, KNN, Neural Network and Linear Regression algorithms. Over two Data Sets (meant-to-be) very different in nature and volume.
MaxAposteriori
Maximum posterior module (python class) - Enable the fitting of model and prediction of outcome using Bayesian rules.
Randomized-Optimization
Analysis (adurocher3-analysis.pdf) of four randomized optimization algorithms. Finding NNets weights, and solving non-linear problems.
Trading-Strategy
Generate trading orders (BUY, SELL, NOTHING) using technical orders' rules based on historical data. Manual Strategy uses my modest intuition to find the optimal policy. QLearnerStrategy uses Machine Learning (QLearning algorithm) to find the optimal policy: four indicators are discretized to generate each state.
Transformer
Deep Learning project, Transformer with attention. PyTorch. (credits paper ref. https://arxiv.org/abs/1706.03762)
AlexisDrch's Repositories
AlexisDrch/Computer-Vision
Computer Vision @GTech MSCS
AlexisDrch/Trading-Strategy
Generate trading orders (BUY, SELL, NOTHING) using technical orders' rules based on historical data. Manual Strategy uses my modest intuition to find the optimal policy. QLearnerStrategy uses Machine Learning (QLearning algorithm) to find the optimal policy: four indicators are discretized to generate each state.
AlexisDrch/Data-Hunter
DataHunter is a module that acts as a black-box extracting sense to a dataset (an array of JavaScript objects) using k-means and data-analysis algorithms.
AlexisDrch/Machine-Learning
Performance analysis of Decisions Trees, Boosting & Bagging, KNN, Neural Network and Linear Regression algorithms. Over two Data Sets (meant-to-be) very different in nature and volume.
AlexisDrch/Ask
A platform to rent & sell items
AlexisDrch/Data-Mining
Projects of Machine Learning and DataMining - course followed at Université de Technologie de Compiegne (UTC) France.
AlexisDrch/MaxAposteriori
Maximum posterior module (python class) - Enable the fitting of model and prediction of outcome using Bayesian rules.
AlexisDrch/Regression-DTree
a regression decision tree, based on ID3 algorithm and correlation metric to choose best feature
AlexisDrch/Transformer
Deep Learning project, Transformer with attention. PyTorch. (credits paper ref. https://arxiv.org/abs/1706.03762)
AlexisDrch/Deep-Learning
Deep Learning models with vanilla & PyTorch implementations. Projects, Research, Theory and homeworks
AlexisDrch/Randomized-Optimization
Analysis (adurocher3-analysis.pdf) of four randomized optimization algorithms. Finding NNets weights, and solving non-linear problems.
AlexisDrch/AI_KhanLogic
Artificial Inteligence to solve & play a complete Khan logic game. Human vs AI - Human vs Human - AI vs AI
AlexisDrch/Android_IMATISSE
AlexisDrch/clustering-reduction
Kmeans, EM and Neural Networks applied on reduced dataset using different dimensionality reduction algorithms.
AlexisDrch/CS8803-YourFav
CS8803 - Georgia Tech MSCS course. Mobile Apps & Services | Peer assignment | YourFav displays pictures content (third party API) and favorites
AlexisDrch/Data-Visualization
Different projects to visualize datasets inner relations and patterns
AlexisDrch/DataMining-project
AlexisDrch/devops-lab
AlexisDrch/ExpeMaximization_IndepFeatures
A python class running Expectation Maximization algorithm to cluster a pandas dataset X composed of several conditionally independant features (assuming they are all based on Normal Distribution) | To be finished. #unsupervised-learning
AlexisDrch/kaggle_human_proteins
Classify subcellular protein patterns in human cells
AlexisDrch/Kmeans-taxisdata
Map Reduce Kmeans on taxis dataset - course followed at Université de Technologie de Compiegne (UTC) France.
AlexisDrch/MicroMacro-LSTM
LSTM to model temporal dependencies between micro and macro sequences of input. Research project
AlexisDrch/NonLinear-Optimization
Jupyter notebook to resolve a typical optimization problem, using different algorithms seen in class (Optimization COS360).
AlexisDrch/Pacman-multiAgent
A multi agent platform simulating an IA running a pacman like game.
AlexisDrch/UTComputer_LO21
UTComputer is a scientific calcultator - Applying POO theory
AlexisDrch/workshop-utc
Repo de demo pour le Workshop de l'UTC