Stars
A simple Python library to make chained attributes possible.
Low cost motion capture system for room scale tracking
RAG pipeline implementation example for the Russian language
Code for AAAI 2021 paper: R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object
8th place solution to Zindi's FarmPin Crop Detection Challenge
🦁 Lion, new optimizer discovered by Google Brain using genetic algorithms that is purportedly better than Adam(w), in Pytorch
JohannesBuchner / imagehash
Forked from bunchesofdonald/photohashA Python Perceptual Image Hashing Module
Official implementation of Character Region Awareness for Text Detection (CRAFT)
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Путеводитель C++ программиста по неопределенному поведению
High-efficiency floating-point neural network inference operators for mobile, server, and Web
Paddle Large Scale Classification Tools,supports ArcFace, CosFace, PartialFC, Data Parallel + Model Parallel. Model includes ResNet, ViT, Swin, DeiT, CaiT, FaceViT, MoCo, MAE, ConvMAE, CAE.
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking (CVPR 2023)
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Boost Note is a document driven project management tool that maximizes remote DevOps team velocity.
PyTorch implementation of "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
Beyond Accuracy: Behavioral Testing of NLP models with CheckList
☁️ Nextcloud server, a safe home for all your data
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
FFmpeg libav tutorial - learn how media works from basic to transmuxing, transcoding and more. Translations: 🇺🇸 🇨🇳 🇰🇷 🇪🇸 🇻🇳 🇧🇷
Libav github mirror, clone of git://git.libav.org/libav
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Models and examples built with TensorFlow