ebrahimpichka Goto Github PK

310-mleng-challenge

310.ai ML Engineering challenges

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-graph-neural-networks

Paper Lists for Graph Neural Networks

awesome-meta-learning

A curated list of Meta-Learning resources/papers.

awesome-meta-learning-1

A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.

awesome-ml4co

Awesome machine learning for combinatorial optimization papers.

awesome-optimization

A curated list of mathematical optimization courses, lectures, books, notes, libraries, frameworks and software.

aws-ml-eng-nd-c1

AWS Machine Learning Engineer NanoDegree

bank-queue-system

Discrete event simulation of a multi-branch banking queue system consisted of a single queue and multiple service counters in python

cats-vs-dogs

Cats vs. Dogs Image Classification using Convolutional Neural Networks with Keras

cnn-shoesandalboot

Applying different deep learning architectures fro classification on the Shoe vs Sandal vs Boot dataset from kaggle.

conv-autoencoder

Convolutional Autoencoder Implementation in Pytorch

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.

deepql-ctrl

Human-level control using Deep Reinforcement Learning (deep Q learning) in OpenAI's gym cartpole environment with pytorch

deeprl-trade

Algorithmic Trading Using Deep Reinforcement Learning algorithms (PPO and DQN)

dijkstra-shortest-path

Implementation of Dijkstra's shortest path algorithm in python. a greedy algorithm for finding the shortest path from a specific source node to any other target node in a weighted graph

ebrahimpichka

ebrahimpichka.github.io

My personal website

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.

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

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)

ibm-ai-specialization

Codes, Notebooks, projects, and material for the IBM AI Engineering specialization

lsm-denoise

Denoising time series using Least Squares Method in python using NumPy.

lstm-language-model

LSTM-based language model for text generation using pytorch

mipgnn

ml-from-scratch

implementation of machine learning algorithms from scratch in python

ml-options-pricing

Pricing Financial Options contracts using LightGBM, Deep Learning, and Support Vector Machines.

my-youtube-courses

A list of ML, AI, and CS courses on youtube or other free resources.