TaKiRa88716

TaKiRa88716's Stars

• ByteByteGoHq/system-design-101

  Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.

  67.4k851507.1k

• ruanyf/weekly

  科技爱好者周刊，每周五发布

  51k2.3k5.6k3.1k

• myshell-ai/OpenVoice

  Instant voice cloning by MIT and MyShell. Audio foundation model.

  Language:Python30.4k2222603k

• janhq/jan

  Jan is an open source alternative to ChatGPT that runs 100% offline on your computer

  Language:TypeScript25.9k1432.1k1.5k

• serengil/deepface

  A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

  Language:Python16.4k1591.2k2.4k

• ztjhz/BetterChatGPT

  An amazing UI for OpenAI's ChatGPT (Website + Windows + MacOS + Linux)

  Language:TypeScript8.2k643952.8k

• googleapis/googleapis

  Public interface definitions of Google APIs.

  Language:Starlark7.7k34102.4k

• google/flax

  Flax is a neural network library for JAX that is designed for flexibility.

  Language:Jupyter Notebook6.2k86936660

• thunlp/PromptPapers

  Must-read papers on prompt-based tuning for pre-trained language models.

  4.1k1195381

• google/AFL

  american fuzzy lop - a security-oriented fuzzer

  Language:C3.8k8291650

• facebookresearch/audio2photoreal

  Code and dataset for photorealistic Codec Avatars driven from audio

  Language:Python2.7k3162262

• PaddlePaddle/PaddleVideo

  Awesome video understanding toolkits based on PaddlePaddle. It supports video data annotation tools, lightweight RGB and skeleton based action recognition model, practical applications for video tagging and sport action detection.

  Language:Python1.6k38327387

• shahroudy/NTURGB-D

  Info and sample codes for "NTU RGB+D Action Recognition Dataset"

  Language:MATLAB7691670174

• rwightman/posenet-python

  A Python port of Google TensorFlow.js PoseNet (Real-time Human Pose Estimation)

  Language:Python4962235184

• 3DiVi/nuitrack-sdk

  Nuitrack™ is a 3D tracking middleware developed by 3DiVi Inc.

  Language:C++489247267

• NeroCube/reverse-interview-zh-tw

  📖 reverse-interview 繁體中文翻譯計畫。原作者：https://github.com/viraptor/reverse-interview

  4268029

• hbl917070/Tiefsee4

  An open-source image viewer for Windows with powerful features and ease of use

  Language:TypeScript30864912

• stuarteiffert/RNN-for-Human-Activity-Recognition-using-2D-Pose-Input

  Activity Recognition from 2D pose using an LSTM RNN

  Language:Jupyter Notebook293153477

• 20tab/bvh-python

  Python module for parsing BVH (Biovision hierarchical data) mocap files

  Language:Python2418544

• yuyang-huang/keras-inception-resnet-v2

  The Inception-ResNet v2 model using Keras (with weight files)

  Language:Python18010754

• lovefirst02/tix_bot

  Max搶票機器人(maxbot) help you quickly buy your tickets

  Language:Python1501078

• tekulvw/bvh-converter

  Converts BVH file to joint location CSV

  Language:Python996824

• fabro66/Online-Skeleton-based-Action-Recognition

  Online 3D skeleton-based action recognition with a single RGB camera

  Language:Python9251420

• IDKiro/action-recognition

  Three steps to train your own model for action recognition based on CNN and LSTM by PyTorch.

  Language:Python8641818

• deepaktalwardt/badminton-pose-analysis

  Badminton Pose Analysis for coaching and pose correction

  Language:Jupyter Notebook847223

• PIC4SeR/AcT

  Official code for "Action Transformer: A Self-attention Model for Short-time Pose-based Human Action Recognition", Pattern Recognition (2022).

  Language:Python7841518

• dabeschte/npybvh

  Biovision Hierarchy (BVH) reader for python with numpy pose output

  Language:Python54237

• PIC4SeR/MPOSE2021_Dataset

  This repository contains the MPOSE2021 Dataset for short-time pose-based Human Action Recognition (HAR).

  Language:Python502813

• microsoft/LabanotationSuite

  Microsoft Applied Robotics Research Library: LabanotationSuite - open source software tools to give service robots the ability to perform human-like gestures

  Language:JavaScript395618

• RamyaVidiyala/SpamDetectionInEmails

  A spam detection model to identify unsolicited and unwanted emails is created. Explored the process of classifying emails as spam or not spam, by converting text data(emails) into vectors and employed deep learning model.

  Language:Jupyter Notebook6104