jidenna Goto Github PK

ai2project

autodrive_ddpg

Autonomous Driving on Carla simulator using Deep Deterministic Policy Gradients. Based on Kendall, et. al. 2018.

cal

[CoRL'18] Conditional Affordance Learning

carla-driving-rl-agent

Code for the paper "Reinforced Curriculum Learning for Autonomous Driving in CARLA" (ICIP 2021)

carla-rl

carla-rl-1

Reinforcement Learning codebase for self-driving car in Carla

coinmarketcapscraper

a small python scraper to scrape historical data from the CoinMarketCap website and convert it to csv files . This is an initial step for a data mining process to develop a predictive model of cryptocurrencies prices.

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

drl_based_selfdrivingcarcontrol

Deep Reinforcement Learning (DQN) based Self Driving Car Control with Vehicle Simulator

flood

hands-on-intelligent-agents-with-openai-gym

Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch

hotbirdfloodpredictionmodel

Over 2.3 Billion people are affected due to floods in last 20 years and causing countless death. More than 92 million cattle are lost every year, seven million hectares of land is affected, and damage is over trillions dollars when taken globally in last 5 years. Floods are complicated natural events. It depends on several parameters, so it is very difficult to model analytically. The floods in a catchment depends on the characteristics of the catchment, rainfall and antecedent conditions. So the estimation of the flood peak is a very complex problem. Its due to the lack of Flood Prediction System which can predict the situation accurately. To Overcome this challenge we are building a Flood Prediction System using Predictive modelling. However we have divided our idea into small fragments but enough to be used globally. We have considered most flooded state of India that is Bihar, but can be used widely for all the low lying geographical regions.

hurricane-harvey

Upstream Flood Risk Reduction for Next Harvey

learning2drive

Implementation of the paper "Learning to Drive in a day" in CARLA.

learningbycheating

Driving in CARLA using model-free deep reinforcement learning

machine_learning_examples

A collection of machine learning examples and tutorials.

madras

Multi-Agent DRiving Simulator

masters-thesis

medbot

medical chatbot

ml_for_diabetes

Some ML prediction examples using data from Diabetic patients

model-based-decision-making

Project for EPA1361 (Model-Based Decision-Making). Analysis for a flood risk management plan for the IJssel river.

model-based_decision_making

Advice for the Province of Gelderland on robust strategies to cope with the uncertainties concerning the flood risk of the river IJssel through model based analysis.

prepare-and-host-your-membership-manager-application

Fully featured User Management System with six payment options including recurring payments/subscriptions.

risk-aware-rl

rl_carla

Use Reinforcement Learning to train an autonomous driving agent in CARLA Simulator

sytora

A sophisticated smart symptom search engine

td3

Author's PyTorch implementation of TD3 for OpenAI gym tasks

two-path-noise-lab-plant-disease

Source code for the paper "Reliable Deep Learning Plant Leaf Disease Classification Based on Light-Chroma Separated Branches".

youtube-code-repository

Repository for most of the code from my YouTube channel