NeoKH

NeoKH's Stars

• 996icu/996.ICU

  Repo for counting stars and contributing. Press F to pay respect to glorious developers.

  270k4.2k021.1k

• d2l-ai/d2l-zh

  《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

  Language:Python63.4k1.1k011k

• TencentARC/GFPGAN

  GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

  Language:Python35.9k5074755.9k

• spacedriveapp/spacedrive

  Spacedrive is an open source cross-platform file explorer, powered by a virtual distributed filesystem written in Rust.

  Language:TypeScript32.5k197470950

• datawhalechina/pumpkin-book

  《机器学习》（西瓜书）公式详解

  24k623774.7k

• siyuan-note/siyuan

  A privacy-first, self-hosted, fully open source personal knowledge management software, written in typescript and golang.

  Language:TypeScript22.1k12812.6k1.6k

• HarisIqbal88/PlotNeuralNet

  Latex code for making neural networks diagrams

  Language:TeX22.1k2261222.9k

• dair-ai/ml-visuals

  🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

  13.5k117491.4k

• keycastr/keycastr

  KeyCastr, an open-source keystroke visualizer

  Language:Objective-C12.7k105266518

• datawhalechina/easy-rl

  强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/

  Language:Jupyter Notebook9.5k791441.9k

• OpenXiangShan/XiangShan

  Open-source high-performance RISC-V processor

  Language:Scala4.8k87405659

• BoltzmannEntropy/interviews.ai

  It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

  4.5k539298

• axinc-ai/ailia-models

  The collection of pre-trained, state-of-the-art AI models for ailia SDK

  Language:Python2k52742323

• tkchu/Game-Programming-Patterns-CN

  《游戏编程模式》中文版

  Language:C++1.5k5242259

• argoverse/argoverse-api

  Official GitHub repository for Argoverse dataset

  Language:Python85928198244

• Tencent/Real-SR

  Real-World Super-Resolution via Kernel Estimation and Noise Injection

  Language:Python7841833118

• QBobWatson/ila

  Interactive Linear Algebra

  Language:Python6861521110

• colorfulfuture/Awesome-Trajectory-Motion-Prediction-Papers

  68118366

• ZikangZhou/HiVT

  [CVPR 2022] HiVT: Hierarchical Vector Transformer for Multi-Agent Motion Prediction

  Language:Python6233550119

• Henry1iu/TNT-Trajectory-Prediction

  A Unofficial Pytorch Implementation of TNT: Target-driveN Trajectory Prediction

  Language:Python50666195

• uber-research/LaneGCN

  [ECCV2020 Oral] Learning Lane Graph Representations for Motion Forecasting

  Language:Python506939131

• abduallahmohamed/Social-STGCNN

  Code for "Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction" CVPR 2020

  Language:Python4941368140

• oncework/codeexpander

  A cross-platform cloud synchronization (Github/Gitee) development efficiency tool that integrates input enhancement and code snippet management specifically for developers. 专为开发者开发的一个集输入增强、代码片段管理为一体跨平台云同步（Github/Gitee）的开发效率工具。

  Language:JavaScript454413330

• stepankonev/waymo-motion-prediction-challenge-2022-multipath-plus-plus

  Solution for Waymo Motion Prediction Challenge 2022. Our implementation of MultiPath++

  Language:Python373103172

• argoverse/av2-api

  Argoverse 2: Next generation datasets for self-driving perception and forecasting.

  Language:Python3191016276

• Liang-ZX/VectorNet

  Pytorch implementation of CVPR2020 paper “VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation”

  Language:Jupyter Notebook2393644

• riskers/GithubX

  Chrome Extension Enhanced Github

  Language:TypeScript182672

• abduallahmohamed/Social-Implicit

  Code for: "Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation" Accepted @ ECCV2022

  Language:Python884129

• programmingLearner/MATF-architecture-details

  Architecture Details for CVPR 19 paper: Multi-Agent Tensor Fusion for Contextual Trajectory Prediction

  Language:Python574510

• alin256/multi-mode-prediction-with-mtp-loss

  Implementation of the multi-trajectory-prediction (MTP) loss in PyTorch developed for Alyaev, Elsheikh [2021] Direct Multi-Modal Inversion of Geophysical Logs Using Deep Learning

  Language:Python7304