Pinned Repositories
mmn
Moore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks
anomalous_rl_envs
Anomalous versions of OpenAI Gym and PyBullet3 environments
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
Differential_IG
Source code for the differential saliency method used in "Re-understanding Finite-State Representations of Recurrent Policy Networks"
GoFaceRec
Face recognition in Go using MTCNN and QMagFace
LEADER
Author implementation of the LEADER algorithm: integrating learning and planning to have safer agents
MS-Celeb-Aligned-Extractor
A tsv extractor which extracts and saves MsCelebV1-Faces-Aligned.tsv
recurrent_implicit_quantile_networks
Implementation of the Recurrent Implicit Quantile Networks (RIQNs), used as a baseline in the OOD detection in the anomalous RL benchmark
Regression-on-Yahoo-Finance
Linear regression on Yahoo! finance data.
trending-repos
trending repositories and news related to AI
modanesh's Repositories
modanesh/GoFaceRec
Face recognition in Go using MTCNN and QMagFace
modanesh/LEADER
Author implementation of the LEADER algorithm: integrating learning and planning to have safer agents
modanesh/anomalous_rl_envs
Anomalous versions of OpenAI Gym and PyBullet3 environments
modanesh/recurrent_implicit_quantile_networks
Implementation of the Recurrent Implicit Quantile Networks (RIQNs), used as a baseline in the OOD detection in the anomalous RL benchmark
modanesh/Differential_IG
Source code for the differential saliency method used in "Re-understanding Finite-State Representations of Recurrent Policy Networks"
modanesh/CS533_RL
OSU's CS 533 Reinforcement Learning course assignments
modanesh/modanesh.github.io
A beautiful, simple, clean, and responsive Jekyll theme for academics
modanesh/visTorch
Interacting with Latent Space of AutoEncoder
modanesh/cleanrl
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
modanesh/cliport
CLIPort: What and Where Pathways for Robotic Manipulation
modanesh/context-pomdp
modanesh/CORL
High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC
modanesh/dopamine
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
modanesh/gym
A toolkit for developing and comparing reinforcement learning algorithms.
modanesh/Gymnasium
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
modanesh/integrated-gradient-pytorch
This is the pytorch implementation of the paper - Axiomatic Attribution for Deep Networks.
modanesh/ivy
The Unified Machine Learning Framework
modanesh/Kairos
Kairos aims to help you save time by automating repetitive tasks on TradingView such as scanning markets for setups, and refreshing alerts as well as creating new ones.
modanesh/magic
Macro-Action Generator-Critic (MAGIC) - Learning Macro-actions for online POMDP planning
modanesh/mlforhealthlabpub
Machine Learning and Artificial Intelligence for Medicine.
modanesh/modified_bullet3
Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
modanesh/OpenreviewCrawler
Crawling Openreview to get papers' statistics
modanesh/plant
[CoRL'22] PlanT: Explainable Planning Transformers via Object-Level Representations
modanesh/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
modanesh/pytorch-vqvae
Vector Quantized VAEs - PyTorch Implementation
modanesh/pytorch_geometric
Graph Neural Network Library for PyTorch
modanesh/rl-trained-agents
A collection of pre-trained RL agents using Stable Baselines3
modanesh/ROS_communication
Using ROS service and client communication for between Python and C++
modanesh/stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
modanesh/variational-autoencoder
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)