akjayant

PPO_Lagrangian_PyTorch

Implementation of PPO Lagrangian in PyTorch

Autonomous-Driving-via-RL

Applying RL methods for autonomous driving in Carla simulator.

mbppol

This repository has code for the paper "Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algorithm" accepted at NeurIPS 2022.

Image-Captioning-via-YOLOv5-EncoderDecoderwithAttention

Image Captioning using combination of object detection via YOLOv5 and Encoder Decoder LSTM model

Coding_Reinforcement_Learning

Implementation of basic RL steps and algorithms - Dynamic Programming approach, Monte-Carlo approach, DQN on Atari, Policy Gradient - Reinforce with baseline, Actor Critic (A2C)

Sentiment-Analysis

Twitter Sentiment Analysis

interpretable-ml-book

Book about interpretable machine learning

News-Article-Recommendation-via-Contextual-Bandits

Recommendation using LinUCB algorithm

Neural-Architecture-Search-Project

Attempt of Efficient Neural Architecture Search for searching DQN approximation neural network architecture

2020_CARLA_challenge

"Learning by Cheating" (CoRL 2019) submission for the 2020 CARLA Challenge

acme

A library of reinforcement learning components and agents

akjayant.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

Analysis-of-Codeforces-Data

To analyze correlation between coding style and coding proficiency, and whether coding styles show regional variations.

Carla-ppo

This repository hosts a customized PPO based agent for Carla. The goal of this project is to make it easier to interact with and experiment in Carla with reinforcement learning based agents -- this, by wrapping Carla in a gym like environment that can handle custom reward functions, custom debug output, etc.

cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features

coach

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

COVID19-Short-Term-Forecasting-and-Cluster-Analysis

Covid 19 cases Forecasting using ARIMA in India, US, Italy, Belgium & Patient data(anonymized) cluster analysis of India

Custom_YOLOv5

Using Ultralytics YOLOv5 to train a custom dataset

Data-Structures-Algorithms

Deep-Learning-PyTorch

For recapping Feed Forward Neural Networks, CNNs, RNNs, LSTMs in PyTorch

Deep-Reinforcement-Learning-Hands-On

Hands-on Deep Reinforcement Learning, published by Packt

ecomML

Literature survey , ChatGPT threads

l2rpn-baselines

L2RPN Baselines a repository to host baselines for l2rpn competitions.

ML_DL_Research_collab_base

This is a repository of where we are trying to have all the knowledge base collected.

Recommendation-via-Latent-Reprsentations

Recommendation using non negative matrix factorization

rlax

safety-starter-agents

Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.

shieldNN2020

Spectral-Clustering

Spectral Clustering is a technique to cluster data which finds use in community detetction applications

stable-baselines3

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