EpicKJ

EpicKJ's Stars

• gezp/carla_ros

  ROS bridge for CARLA Simulator

  Language:Python6013

• houtianze/bypy

  Python client for Baidu Yun (Personal Cloud Storage) 百度云/百度网盘Python客户端

  Language:Python8.1k1.4k

• qjfoidnh/BaiduPCS-Go

  iikira/BaiduPCS-Go原版基础上集成了分享链接/秒传链接转存功能

  Language:Go3.3k487

• jaakkopasanen/AutoEq

  Automatic headphone equalization from frequency responses

  Language:Python14k2.5k

• state-spaces/mamba

  Mamba SSM architecture

  Language:Python14.3k1.2k

• autowarefoundation/autoware-launch-gui

  Autoware Launch GUI is a Tauri / NextJS application designed to simplify the process of launching Autoware processes. Instead of relying on command prompts, users can now utilize a user-friendly graphical interface.

  Language:TypeScript273

• qintonguav/ParkingE2E

  Language:Python37981

• qintonguav/e2e-parking-carla

  Language:Python16127

• mimicji/Bilingual-Resume-Template

  Bilingual Resume Template in Latex. 中英双语Latex简历模板

  Language:TeX141

• autonomousvision/navsim

  [NeurIPS 2024] NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking

  Language:Python41230

• yuweihao/MambaOut

  MambaOut: Do We Really Need Mamba for Vision? (CVPR 2025)

  Language:Python2.2k40

• jialongjq/mlcms

  [TUM] Master-Praktikum - Machine Learning in Crowd Modeling & Simulation

  Language:Jupyter Notebook1

• fehmisener/MLCMS-praktikum

  Master-Praktikum - Machine Learning in Crowd Modeling & Simulation 2023/24 (IN2106, IN4267)

  Language:Jupyter Notebook3

• jiabowang21/MLCMS

  Master-Praktikum - Machine Learning in Crowd Modeling & Simulation

  Language:Jupyter Notebook1

• markustyj/ML-CrowdSimulation

  Group I --> practical course machine learning in crowd modeling and simulation in SS23

  Language:Jupyter Notebook2

• HerrXu01/Master_Praktikum__Machine_Learning_in_Crowd_Modeling_and_Simulation

  Language:Jupyter Notebook2

• AlexPasqua/MLCMS-exercises

  Exercises for the course of Machine Learning in Crowd Modelling and Simulation @ TUM

  Language:Jupyter Notebook32

• mcmikecreations/tum_info

  TUM exam statistics and more at the Technical University of Munich.

  Language:Python428

• isanchop/stuhack

  Chrome extension for studocu premium free

  Language:JavaScript1.4k190

• Haggaim/PM-SDP

  Implementation of the SIGGRAPH 2016 paper "Point registration via efficient convex relaxation‏"

  51

• MariaSimon-AI/Facial-keypoint-Detection-using-Pytorch

  Project to find the facial keypoints on an image with a CNN using Pytorch.

  Language:Jupyter Notebook11

• martinkersner/cs231n

  Solved assignments from Stanford CS class CS231n: Convolutional Neural Networks for Visual Recognition

  Language:Python6847

• idf/LaTeX2Word-Equation

  Copy LaTeX Equations as Word Equations, a Chrome Extension

  Language:JavaScript46150

• zhouhaoyi/Informer2020

  The GitHub repository for the paper "Informer" accepted by AAAI 2021.

  Language:Python5.7k1.2k

• ourownstory/neural_prophet

  NeuralProphet: A simple forecasting package

  Language:Python4k495

• fitzgerald0/time_series_data_mining

  TensorFlow Probability；Time series model

  Language:Python12655

• nilmtk/nilmtk-contrib

  Language:Python12362

• albertogaspar/dts

  A Keras library for multi-step time-series forecasting.

  Language:Python17944

• deshpandenu/Time-Series-Forecasting-of-Amazon-Stock-Prices-using-Neural-Networks-LSTM-and-GAN-

  Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is used with multiple features to predict stock prices and then sentimental analysis is performed using news and reddit sentiments. GANs are used to predict stock data too where Amazon data is taken from an API as Generator and CNNs are used as discriminator.

  Language:Jupyter Notebook420122

• arslan2k12/Short-term-load-forecasting-using-ensemble-modelling-and-optimization-for-demand-response

  forecasting and optimization - Coded in Python

  Language:Jupyter Notebook256