Pinned Repositories
White-Cane
A virtual assistant for the visually impaired
f_cal
f-Cal: Variational calibration of aleatoric uncertainty in neural regression
Amazon-Web-Scraper
Amazon Web Scraper to scrape product and seller data from www.amazon.in
AutoLay
A novel benchmark dataset for Monocular Layout prediction
BASS-Net
Band-Adaptive Spectral-Spatial Feature Learning Deep Neural Network for Hyperspectral Image Classification
Hyperspectral
Landcover Classification in Hyperspectral Images
Indian_Pines
HyperSpectral Image Classification
Information-Retrieval
This repository contains solution codes for the assignments given in the course Information Retrieval(CS60092) at IIT Kharagpur
monolayout
MonoLayout: Amodal Scene Layout from a single image
iv_rl
IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
manila95's Repositories
manila95/monolayout
MonoLayout: Amodal Scene Layout from a single image
manila95/AutoLay
A novel benchmark dataset for Monocular Layout prediction
manila95/papers_trove
Collection of papers and corresponding notes relevant to my research.
manila95/ai-safety-gridworlds
This is a suite of reinforcement learning environments illustrating various safety properties of intelligent agents.
manila95/Bullet-Safety-Gym
An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.
manila95/cleanrl
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
manila95/deep-learning-uncertainty
Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.
manila95/DEUP
Code for experiments to learn uncertainty
manila95/e3b
Official repo for the E3B algorithm described in the paper "Exploration via Elliptical Episodic Bonuses".
manila95/exploring_exploration
This paper contains code for our work "An Exploration of Embodied Visual Exploration".
manila95/FSRL
🚀 A fast safe reinforcement learning library in PyTorch
manila95/Gymnasium
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
manila95/Gymnasium-Robotics
A collection of robotics simulation environments for reinforcement learning
manila95/habitat
manila95/habitat-lab
A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators.
manila95/habitat-matterport-3dresearch
manila95/habitat_envs
Gym environments for habitat
manila95/IsaacGymEnvs
Isaac Gym Reinforcement Learning Environments
manila95/lx-ros-basics
Duckietown Learning Experience about ROS (Robot Operating System)
manila95/manila95.github.io
manila95/metadrive_clean
MetaDrive-0.2.6.0 that is compatible with newest gym version.
manila95/mooc-exercises
manila95/omnisafe
OmniSafe is an infrastructural framework for accelerating SafeRL research.
manila95/ReDMan
ReDMan is an open-source simulation platform that provides a standardized implementation of safe RL algorithms for Reliable Dexterous Manipulation.
manila95/rl-playground
manila95/rl-sandbox
Working codebase of RL algorithms (for use in future research)
manila95/RLeXplore
RLeXplore provides stable baselines of exploration methods in reinforcement learning, such as intrinsic curiosity module (ICM), random network distillation (RND) and rewarding impact-driven exploration (RIDE).
manila95/robo-gym
An open source toolkit for Distributed Deep Reinforcement Learning on real and simulated robots.
manila95/Safe-Policy-Optimization
NeurIPS 2023: Safe Policy Optimization: A benchmark repository for safe reinforcement learning algorithms
manila95/stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.