Pinned Repositories
attn-PG-RL-tsp
A PyTorch implementation of the attention-based Policy Gradient RL for learning to solve Travelling Salesperson Problem based on the paper https://doi.org/10.1007/978-3-319-93031-2_12
awesome-optimization
A curated list of mathematical optimization courses, lectures, books, notes, libraries, frameworks and software.
DDPG-implementation
An implementation of the DDPG algorithm from the paper "Continuous control with deep reinforcement learning"
deep-forecast
Forecasting stock prices using LSTM and Feed-Forward Neural Networks (MLP) using historical data.
GAT-pt
PyTorch implementation of the Graph Attention Networks (GAT) based on the paper "Graph Attention Network" by Velickovic et al - https://arxiv.org/abs/1710.10903v3
GCN-pt
A simple PyTorch implementation of Graph Convolutional Networks based on the paper: https://arxiv.org/abs/1609.02907 (Kipf & Welling, ICLR 2017)
LSM-denoise
Denoising time series using Least Squares Method in python using NumPy.
ml-options-pricing
Pricing Financial Options contracts using LightGBM, Deep Learning, and Support Vector Machines.
portfolio-opt
Implementation of modern portfolio optimization (mean-variance portfolio optimization) using Monte Carlo simulation and sequential least squares programming (scipy package) in Python
QAP-RL
Unofficial implemnetation of "Solving Quadratic Assignemt Problem using Deep Reinforcement Learning" (https://arxiv.org/abs/2310.01604)
ebrahimpichka's Repositories
ebrahimpichka/ml-from-scratch
implementation of machine learning algorithms from scratch in python
ebrahimpichka/SVD-image-compression
Compressing RGB images using SVD matrix decomposition
ebrahimpichka/semantic-textual-similarity
Categorizing products of an online retailer based on products’ titles using word2vec word-embedding and DBSCAN (density-based spatial clustering of applications with noise) clustering.
ebrahimpichka/technical-analysis-chart
an interactive candle-stick chart for technical analysis of a financial asset using Plotly
ebrahimpichka/EDA-auto-dataset
Exploratory data analysis on “Auto” dataset and classifying the amount of gas usage for automobiles using linear & quadratic discriminant analysis, k‑nearest neighbors, logistic regression and random forest classification algorithms.
ebrahimpichka/production-line-workflow
Simulation of the workflow of a production line facility consisted of three assembly and processing machines
ebrahimpichka/bank-queue-system
Discrete event simulation of a multi-branch banking queue system consisted of a single queue and multiple service counters in python
ebrahimpichka/mipGNN
ebrahimpichka/cats-vs-dogs
Cats vs. Dogs Image Classification using Convolutional Neural Networks with Keras
ebrahimpichka/pca-implementation
a simple implementation of the PCA algorithm for dimensionality reduction in python
ebrahimpichka/awesome-meta-learning
A curated list of Meta-Learning resources/papers.
ebrahimpichka/Awesome-Meta-Learning-1
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.