spiner321

spiner321's Stars

• DLR-RM/stable-baselines3

  PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

  Language:Python8.7k1.7k

• MehdiShahbazi/DQN-Frozenlake-Gymnasium

  This repo implements Deep Q-Network (DQN) for solving the Frozenlake-v1 environment of the Gymnasium library using Python 3.8 and PyTorch 2.0.1 in both 4x4 and 8x8 map sizes.

  Language:Python132

• JaidedAI/EasyOCR

  Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

  Language:Python23.7k3.1k

• NVIDIA/NeMo

  A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

  Language:Python11.5k2.4k

• arogozhnikov/einops

  Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

  Language:Python8.4k347

• kevslinger/DTQN

  Deep Transformer Q-Networks for Partially Observable Reinforcement Learning

  Language:Python13021

• lucidrains/q-transformer

  Implementation of Q-Transformer, Scalable Offline Reinforcement Learning via Autoregressive Q-Functions, out of Google Deepmind

  Language:Python32619

• d-krupke/ALENEX24-partial-coverage-path-planning

  Code and Data for the Paper "Near-Optimal Coverage Path Planning with Turn Costs" ALENEX 2024

  Language:Jupyter Notebook131

• HKUST-Aerial-Robotics/AutoTrans

  AutoTrans: A Complete Planning and Control Framework for Autonomous UAV Payload Transportation.

  Language:C++7210

• XinJingHao/OkayPlan

  OkayPlan: A real-time global path palnning algorithm for dynamic environments

  Language:Python276

• SilinMeng0510/llm-astar

  LLM-A*: Large Language Model Enhanced Incremental Heuristic Search on Path Planning

  Language:Python22

• happilee12/gpu-util-webhook

  check daily and per period gpu util and send to slack/teams webhook

  Language:Python101

• mapbox/mapbox-cli-py

  Command line interface to Mapbox Web Services

  Language:Python16444

• mapbox/tilesets-cli

  CLI for interacting with the Mapbox Tilesets API and Mapbox Tiling Service

  Language:Python12526

• lssiair/TUTR

  ICCV2023 TUTR: Trajectory Unified Transformer for Pedestrian Trajectory Prediction

  Language:Python356

• CIA-Oceanix/TrAISformer

  Pytorch implementation of TrAISformer---A generative transformer for AIS trajectory prediction (https://arxiv.org/abs/2109.03958).

  Language:Python9635

• AirVLN/AirVLN

  Language:Python447

• theilem/uavSim

  Language:Python10123

• Cognitive-AI-Systems/learn-to-follow

  [AAAI-2024] Follower: This study addresses the challenging problem of decentralized lifelong multi-agent pathfinding. The proposed Follower approach utilizes a combination of a planning algorithm for constructing a long-term plan and reinforcement learning for resolving local conflicts.

  Language:C++373

• Tviskaron/pathfinding-in-stochastic-envs

  Source code for Pathfinding in Stochastic Environments paper.

  Language:Python12

• EmptyJackson/policy-guided-diffusion

  Official implementation of the RLC 2024 paper "Policy-Guided Diffusion"

  Language:Python1156

• jbkjr/train-procgen-pytorch

  Pytorch implementation on OpenAI's Procgen ppo-baseline, built from scratch.

  Language:Python1411

• jannerm/trajectory-transformer

  Code for the paper "Offline Reinforcement Learning as One Big Sequence Modeling Problem"

  Language:Python45263

• quasimetric-learning/quasimetric-rl

  Open source code for paper "Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning" ICML 2023

  Language:Python425

• MohamedAbuella/TSA4EESSS

  Time-Series Analysis Approach for Improving Energy Efficiency of Fixed-Route Vessel in Short-Sea Shipping

  Language:HTML21

• KUNALSINGH9373/Marine-Route-Optimization

  Language:Jupyter Notebook1

• RobustFieldAutonomyLab/Stochastic_Road_Network

  [UR 2023] Robust Route Planning with Distributional Reinforcement Learning in a Stochastic Road Network Environment

  Language:Python172

• Cognitive-AI-Systems/pogema

  POGEMA stands for Partially-Observable Grid Environment for Multiple Agents. This is a grid-based environment that was specifically designed to be flexible, tunable and scalable. It can be tailored to a variety of PO-MAPF settings.

  Language:Python20723

• Cognitive-AI-Systems/TransPath

  This repository contains a deep learning-based approach for improving A* search efficiency on grid graphs. By learning instance-dependent heuristic proxies like correction factors and path probability, our method significantly reduces computational effort in obstacle-rich environments.

  Language:Jupyter Notebook229

• facebookresearch/dinov2

  PyTorch code and models for the DINOv2 self-supervised learning method.

  Language:Jupyter Notebook8.8k763