shikharvashistha

shikharvashistha's Stars

• LiuAoyu1998/STIDGCN

  Language:Python5210

• nnzhan/Graph-WaveNet

  graph wavenet

  Language:Python626201

• cure-lab/SCINet

  The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“. (NeurIPS 2022)

  Language:Python634129

• LoheshM/Comparative-Analysis-of-Reinforcement-Learning-Models-for-Lane-Change-Decision-Making

  Intelligent lane-changing system for autonomous vehicles leveraging Deep Q-Network (DQN), Double DQN, and Dueling Double DQN models in CARLA simulator. Enhances safety and efficiency through informed decision-making in dynamic traffic scenarios.

  Language:Python434

• pfnet/pfrl

  PFRL: a PyTorch-based deep reinforcement learning library

  Language:Python1.2k157

• quantumiracle/Popular-RL-Algorithms

  PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

  Language:Jupyter Notebook1.1k128

• donnemartin/system-design-primer

  Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

  Language:Python276k46.4k

• Curt-Park/rainbow-is-all-you-need

  Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

  Language:Jupyter Notebook1.9k335

• psanch21/LCAT

  Language:Python212

• juhyeonkim95/TaxiSimulatorOnGraph

  This is the official implementation of "Optimizing Large-Scale Fleet Management on a Road Network using Multi-Agent Deep Reinforcement Learning with Graph Neural Network" (ITSC 2021)

  Language:Jupyter Notebook3411

• bmezaris/Gated-ViGAT

  Gated-ViGAT. Code and data for our paper: N. Gkalelis, D. Daskalakis, V. Mezaris, "Gated-ViGAT: Efficient bottom-up event recognition and explanation using a new frame selection policy and gating mechanism", IEEE International Symposium on Multimedia (ISM), Naples, Italy, Dec. 2022.

  Language:Python41

• CurryTang/Awesome_Graph_Foundation_Models

  Accompanied repositories for our paper Graph foundation model

  15313

• project-oak/oak

  Meaningful control of data in distributed systems.

  Language:Rust1.3k113

• cjy1992/interp-e2e-driving

  Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning

  Language:Python24339

• acbull/pyHGT

  Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric

  Language:Python798163

• kaize0409/awesome-few-shot-gnn

  An index of algorithms for few-shot learning/meta-learning on graphs

  14317

• WoodOxen/tactics2d

  Tactics2D: A Reinforcement Learning Environment Library with Generative Scenarios for Driving Decision-making

  Language:Python17021

• qitianwu/SGFormer

  The official implementation for NeurIPS2023 paper "SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations"

  Language:Python23218

• flyingdoog/awesome-graph-explainability-papers

  Papers about explainability of GNNs

  66067

• AndreaVidali/Deep-QLearning-Agent-for-Traffic-Signal-Control

  A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize traffic efficiency.

  Language:Jupyter Notebook424149

• WwZzz/easyFL

  An experimental platform for federated learning.

  Language:Jupyter Notebook54994

• KarhouTam/FL-bench

  Benchmark of federated learning. Dedicated to the community. 🤗

  Language:Python50380

• jedeschaud/kitti_carla_simulator

  KITTI-CARLA: Python scripts to generate the KITTI-CARLA dataset

  Language:Python6612

• public-apis/public-apis

  A collective list of free APIs

  Language:Python318k33.9k

• katrinleinweber/PhD-thesis

  Experimental tech-demo for PhD thesis in Scientific Markdown; official:

  Language:Shell455

• tompollard/phd_thesis_markdown

  Template for writing a PhD thesis in Markdown

  Language:HTML1.2k554

• shubhamgrg04/awesome-diagramming

  A curated collection of diagramming tools used by leading software engineering teams

  2.9k79

• codecrafters-io/build-your-own-x

  Master programming by recreating your favorite technologies from scratch.

  Language:Markdown312k29k

• seanprashad/leetcode-patterns

  A pattern-based approach for learning technical interview questions

  Language:JavaScript10.2k1.8k

• moby/libnetwork

  networking for containers

  Language:Go2.2k881