Pinned Repositories
arxiv-style
A Latex style and template for paper preprints (based on NIPS style)
beamer
A LaTeX class for producing presentations and slides
Clean-OfflineRL
High-quality single-file implementations of SOTA Offline RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC
clean-RL
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
codespaces-project-template-js
Codespaces template for creating and deploying your own React portfolio
cvikas
A customizable Jekyll Portfolio theme which supports blogging.
deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Kannada-MNIST-digit-classifier
This repository deals with the classification of Kannada MNIST using Neural Networks (NN, CNN) with different architectures and compares the results with SVM and LDA.
missing-semester
The Missing Semester of Your CS Education 📚
RBC-SymExDRL
This repository contains my thesis work on the control of RBC using symmetry exploiting deep reinforcement learning
VikasChidananda's Repositories
VikasChidananda/arxiv-style
A Latex style and template for paper preprints (based on NIPS style)
VikasChidananda/beamer
A LaTeX class for producing presentations and slides
VikasChidananda/Clean-OfflineRL
High-quality single-file implementations of SOTA Offline RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC
VikasChidananda/clean-RL
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
VikasChidananda/cvikas
A customizable Jekyll Portfolio theme which supports blogging.
VikasChidananda/deepdream
VikasChidananda/DeepReinforcementLearning_RayleighBenard2D_Control
Control of 2D Rayleigh Benard Convection using Deep Reinforcement Learning with Tensorforce and Shenfun.
VikasChidananda/dlkoopman
A general-purpose Python package for Koopman theory using deep learning.
VikasChidananda/DS4DS_Course
Data Science for Dynamical System Course
VikasChidananda/FluxML-model-zoo
Please do not feed the models
VikasChidananda/G_CNN
VikasChidananda/galactica-ai
Model API for GALACTICA
VikasChidananda/GraphNeuralNetworks.jl
Graph Neural Networks in Julia
VikasChidananda/hydrogym
OpenAI Gym API-compliant challenge problems in data-driven modeling and control of fluid dynamics for reinforcement learning algorithms, evolutionary algorithms, classical control, and beyond.
VikasChidananda/JuliaNRW21
Julia workshop @ HPC.NRW
VikasChidananda/Kannada-MNIST-digit-classifier
This repository deals with the classification of Kannada MNIST using Neural Networks (NN, CNN) with different architectures and compares the results with SVM and LDA.
VikasChidananda/missing-semester
The Missing Semester of Your CS Education 📚
VikasChidananda/RBC-SymExDRL
This repository contains my thesis work on the control of RBC using symmetry exploiting deep reinforcement learning
VikasChidananda/reinforcement_learning_course_materials
Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University
VikasChidananda/jekyll-theme-basically-basic
Your new Jekyll default theme.
VikasChidananda/on-policy
This is the official implementation of Multi-Agent PPO (MAPPO).
VikasChidananda/practical-sessions
VikasChidananda/rl-colab-notebooks
Colab notebooks part of the documentation of Stable Baselines reinforcement learning library
VikasChidananda/rl-tutorial-stablebaselines3
Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019
VikasChidananda/RL_berkeley
Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2022)
VikasChidananda/rliable
[NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.
VikasChidananda/rllib_tutorials
Ray RLlib tutorial material
VikasChidananda/segmentation_models.pytorch
Segmentation models with pretrained backbones. PyTorch.
VikasChidananda/setup-julia
This action sets up a Julia environment for use in actions by downloading a specified version of Julia and adding it to PATH.
VikasChidananda/shenfun
High performance computational platform in Python for the spectral Galerkin method