akjayant Goto Github PK
Name: Ashish Kumar Jayant
Type: User
Company: Indian Institute of Science
Bio: I love(hate) to RL.
Twitter: akjayant7
Location: Bengaluru, India
Blog: akjayant.github.io
Name: Ashish Kumar Jayant
Type: User
Company: Indian Institute of Science
Bio: I love(hate) to RL.
Twitter: akjayant7
Location: Bengaluru, India
Blog: akjayant.github.io
"Learning by Cheating" (CoRL 2019) submission for the 2020 CARLA Challenge
A library of reinforcement learning components and agents
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
To analyze correlation between coding style and coding proficiency, and whether coding styles show regional variations.
Applying RL methods for autonomous driving in Carla simulator.
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-Simulator environment compatible with Ray/Rllib
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features
Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
Implementation of basic RL steps and algorithms - Dynamic Programming approach, Monte-Carlo approach, DQN on Atari, Policy Gradient - Reinforce with baseline, Actor Critic (A2C)
Covid 19 cases Forecasting using ARIMA in India, US, Italy, Belgium & Patient data(anonymized) cluster analysis of India
Using Ultralytics YOLOv5 to train a custom dataset
Basic excercises of NLP, Numpy, Pandas, Linear Regression
Just some practice codes
For recapping Feed Forward Neural Networks, CNNs, RNNs, LSTMs in PyTorch
Hands-on Deep Reinforcement Learning, published by Packt
A list of papers and resources dedicated to deep reinforcement learning
Summaries and notes on Deep Learning research papers
Repository containing Pytorch code for EKFAC and K-FAC perconditioners.
Multivariate imputation and matrix completion algorithms implemented in Python
Check gradient flow in Pytorch
Image Captioning using combination of object detection via YOLOv5 and Encoder Decoder LSTM model
Book about interpretable machine learning
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano.
L2RPN Baselines a repository to host baselines for l2rpn competitions.
Papers discussed during lab meetings for Intelligent Systems Lab at IISc.
Linear Algebra Course Assignments at IISc, Bangalore
Contains Stanford University (CS 229) Machine Learning study material
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.