praveen-palanisamy/Robinhood-Insights

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Created almost 7 years ago
Updated almost 7 years ago

praveen-palanisamy/Robinhood-Insights

praveen-palanisamy

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A web app to get actionable insights into your Robinhood Portfolio

multiple-object-tracking-lidar

C++ implementation to Detect, track and classify multiple objects using LIDAR scans or point cloud

macad-gym

Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:

Ape-X-DQN

PyTorch Implementation of Ape-X (Distributed prioritized experience replay) architecture with DQN learner

macad-agents

Agents code for Multi-Agent Connected Autonomous Driving (MACAD) described in the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:

Pandaboard-ES

Resources/How-TOs for OMAP4 based Pandaboard ES

webgym

WebGym: Web-browser-based tasks for RL Agents

OpenCV-2.4.9-for-arm

Prebuilt OpenCV library files for arm v7 cortex-a9 based devices including Pandaboard,I.mx6,ODROID-X

MemReFinder

Finder (File Explorer) App to chat with your Documents and Files powered by LLMs

playwrightgym

PlaywrightGym - Train RL Agents for Web tasks

multi_object_tracking_lidar-release

Release version of multi_object_tracking_lidar ROS package for: Multiple objects detection, tracking and classification from LIDAR scans/point-clouds

openai-retro-contest

Code & experiments done for the transfer learning contest that measures a RL algorithm's ability to generalize from previous experience

praveen-palanisamy.github.io

Praveen Palanisamy's Website/ Blog: