ibrahim-elshar Goto Github PK

adp-benchmarks

carsharing

civil-utilities-tools

Utilities Design tools

cs231n-2017-summary

After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.

deep-reinforcement-learning-papers

A list of recent papers regarding deep reinforcement learning

deep_pg

A Deep Policy Gradient implementation - REINFORCE and N-step A2C- for LunarLander-v2

dueling_double_dqn

A vanilla Deep Q-Network (DQN), Double DQN and Dueling DQN implementation for MountainCar-v0 and CartPole-v0

dynamic-airline-pricing

Dynamic airline pricing with ticket returns

dynamic-pricing-for-n-stations-car-sharing-system

We compare the performance of DDPG and DPPM in the car sharing environment.

gracious-hospital-case-study

Simulation Model for the case study: A Prescription for Budget Woes at Gracious University Hospital. #(s,S) Policy # ADCs

gym-windy-gridworlds

Windy GridWorlds environments compatible with OpenAI gym.

ibrahim-elshar.github.io

imdb-text-classification

CMU 10-701 Project: IMDB Text Classification using sentence embedding

keras-rl

Deep Reinforcement Learning for Keras.

lbql_icml2020

This is the source code for "Lookahead-bounded Q-learning" published at ICML 2020

llama

Inference code for LLaMA models

mojo

The Mojo Programming Language

never-ending-learning-imitation-based-methods

CMU 10-703 Project: Never-Ending Learning Imitation Based Methods

notes

Resources to learn more about Machine Learning and Artificial Intelligence

openssm

OpenSSM: Safe, Reliable, and Trustable Small Specialist Models (SSMs) for Industrial AI Applications.

optuna

A hyperparameter optimization framework

or-gym

Environments for OR and RL Research

ppo-pytorch

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

pycaret-streamlit

An End-to-End Machine Learning Web Application for Classification and Regression problem using AutoML framework Pycaret.

pytorch-transformer

Attention is all you need implementation

q-optimality-tightening

This is my implementation of the Optimality Tightening

stable-baselines

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

starter-hugo-academic

wcdqn_neurips

Code for Weekly Coupled Deep Q-Networks