Stars
A fast multi-producer, multi-consumer lock-free concurrent queue for C++11
Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. This project provides researchers, developers, and engineers a…
Train a language model to chat like you using your personal conversations from WhatsApp, Telegram, Signal, or other platforms.
A parser, editor and profiler tool for ONNX models.
Python library for computer vision labeling tasks. The core functionality is to translate bounding box annotations between different formats-for example, from coco to yolo.
Flexible Python configuration system. The last one you will ever need.
🔊 Text-Prompted Generative Audio Model
🖼️ An image select component for Streamlit
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Implementation of Muse: Text-to-Image Generation via Masked Generative Transformers, in Pytorch
The Levenshtein Python C extension module contains functions for fast computation of Levenshtein distance and string similarity
Tiny PyTorch library for maintaining a moving average of a collection of parameters.
Accessible large language models via k-bit quantization for PyTorch.
Stable Diffusion web UI
Extract mp3 directly from a SoundCloud url
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
According to YOLOv3 and SORT algorithms, counting multi-type vehicles. Implemented by Pytorch.
A project for counting vehicles using YOLOv4 + DeepSORT + Flask + Ngrok + TF2
implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many mo…
LAVIS - A One-stop Library for Language-Vision Intelligence