akjayant Goto Github PK

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.

autonomous-driving-via-rl

Applying RL methods for autonomous driving in Carla simulator.

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.

carla_ray_rlib

Carla-Simulator environment compatible with Ray/Rllib

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

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)

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-analysis-pre-processing-and-regression

Basic excercises of NLP, Numpy, Pandas, Linear Regression

data-compression-algorithm

data-structures-algorithms

data-structures-algorithms-and-oops-in-python

Just some practice codes

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

deep-reinforcement-learning-papers

A list of papers and resources dedicated to deep reinforcement learning

deeplearning-papernotes

Summaries and notes on Deep Learning research papers

ekfac-pytorch

Repository containing Pytorch code for EKFAC and K-FAC perconditioners.

fancyimpute

Multivariate imputation and matrix completion algorithms implemented in Python

gradflow-check

Check gradient flow in Pytorch

image-captioning-via-yolov5-encoderdecoderwithattention

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

interpretable-ml-book

Book about interpretable machine learning

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano.

l2rpn-baselines

L2RPN Baselines a repository to host baselines for l2rpn competitions.

labmeetpapers

Papers discussed during lab meetings for Intelligent Systems Lab at IISc.

linear-algebra

Linear Algebra Course Assignments at IISc, Bangalore

machine-learning-study-material

Contains Stanford University (CS 229) Machine Learning study material