KurozumiGH

KurozumiGH's Stars

• LuxCoreRender/BlendLuxCore

  Blender Integration for LuxCore

  Language:Python74792

• Megvii-BaseDetection/YOLOX

  YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

  Language:Python9.5k2.2k

• hustvl/SparseInst

  [CVPR 2022] SparseInst: Sparse Instance Activation for Real-Time Instance Segmentation

  Language:Python60072

• iver56/python-i18n-basics

  Example of a basic python i18n setup with Gettext, Babel and Jinja2

  Language:Python19

• tensorflow/models

  Models and examples built with TensorFlow

  Language:Python77.3k45.7k

• facebookresearch/demucs

  Code for the paper Hybrid Spectrogram and Waveform Source Separation

  Language:Python8.5k1.1k

• BandaiNamcoResearchInc/Bandai-Namco-Research-Motiondataset

  This repository provides motion datasets collected by Bandai Namco Research Inc

  Language:Python3.1k380

• Delgan/loguru

  Python logging made (stupidly) simple

  Language:Python20.4k707

• vizzuhq/ipyvizzu

  Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.

  Language:Jupyter Notebook95986

• jchanvfx/NodeGraphQt

  Node graph framework that can be re-implemented into applications that supports PySide2

  Language:Python1.3k273

• h2oai/h2o-3

  H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

  Language:Jupyter Notebook7k2k

• EpistasisLab/tpot

  A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

  Language:Python9.8k1.6k

• autogluon/autogluon

  Fast and Accurate ML in 3 Lines of Code

  Language:Python8.2k937

• keras-team/autokeras

  AutoML library for deep learning

  Language:Python9.2k1.4k

• automl/autoweka

  Auto-WEKA

  Language:Java331105

• automl/auto-sklearn

  Automated Machine Learning with scikit-learn

  Language:Python7.7k1.3k

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python137k27.4k

• xinntao/Real-ESRGAN

  Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

  Language:Python29k3.6k

• fastapi/fastapi

  FastAPI framework, high performance, easy to learn, fast to code, ready for production

  Language:Python79k6.8k

• files-community/Files

  A modern file manager that helps users organize their files and folders.

  Language:C#35.2k2.2k

• PINTO0309/PINTO_model_zoo

  A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.

  Language:Python3.7k579

• letmaik/pyvirtualcam

  🎥 Send frames to a virtual camera from Python

  Language:C++48953

• Rudrabha/Wav2Lip

  This repository contains the codes of "A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild", published at ACM Multimedia 2020. For HD commercial model, please try out Sync Labs

  Language:Python11.1k2.3k

• bluenviron/mediamtx

  Ready-to-use SRT / WebRTC / RTSP / RTMP / LL-HLS media server and media proxy that allows to read, publish, proxy, record and playback video and audio streams.

  Language:Go12.8k1.6k

• dorssel/usbipd-win

  Windows software for sharing locally connected USB devices to other machines, including Hyper-V guests and WSL 2.

  Language:C#3.9k237

• google-ai-edge/mediapipe

  Cross-platform, customizable ML solutions for live and streaming media.

  Language:C++28.1k5.2k

• Kazuhito00/MOT-Tracking-by-Detection-Pipeline

  Tracking-by-Detection形式のMOT(Multi Object Tracking)について、 DetectionとTrackingの処理を分離して寄せ集めたフレームワーク(Tracking-by-Detection method MOT(Multi Object Tracking) is a framework that separates the processing of Detection and Tracking.)

  Language:Python6711

• nlp-with-transformers/notebooks

  Jupyter notebooks for the Natural Language Processing with Transformers book

  Language:Jupyter Notebook3.9k1.2k

• qiuqiangkong/piano_transcription_inference

  Language:Python34765

• joshuaKnauber/layer_painter

  Repository for the blender Layer Painter addon

  Language:Python35821