Skip to content

Entry

Yolov8

Appears in 6 awesome lists

Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking

Open github.comultralytics/ultralytics

Found in these lists

Awesome Data Analysis

Section: Tools · YOLOv8 and other computer vision models.

FreshScore 80

AWESOME DATA SCIENCE

Section: Deep Learning Packages

FreshScore 92

Awesome Machine Learning

Section: C · Ultralytics' YOLOv8 implementation with C++ support for real-time object detection and tracking, optimized for edge devices.

FreshScore 93

Awesome Open Source AI

Section: 11. Specialized Domains · State-of-the-art real-time object detection.

FreshScore 89

awesome-python

Section: Computer Vision · Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking

FreshScore 81

Awesome Python

Section: Computer Vision · Ultralytics YOLO for object detection, segmentation, pose estimation, classification, and tracking.

FreshScore 94

TensorFlow

How to use the Hexagon Delegate to speed up model inference on mobile and edge devices. Also see blog post Accelerating TensorFlow Lite on Qualcomm Hexagon DSPs.

In 23 listsDetails

PyTorch

(label: good first issue) PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing.

In 16 listsDetails

Netron

Visualizer for deep learning and machine learning models (no Python code, but visualizes models from most Python Deep Learning frameworks).

In 15 listsDetails

transformers

(formerly known as pytorch-transformers and pytorch-pretrained-bert) provides state-of-the-art general-purpose architectures (BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet, CTRL...) for Natural Language Understanding (NLU) and Natural Language Generation (NLG) with over 32+ pretrained models in…

In 14 listsDetails

XGBoost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow. [Apache2]

In 11 listsDetails

TensorFlow-Slim

Official TensorFlow repository of state-of-the-art (SOTA) models and modeling solutions. Contains reference implementations for BERT, ResNet, Transformer, and many more with pre-trained weights and training scripts. Apache 2.0 licensed.

In 12 listsDetails

scikit-learn

Scikit-learn is a powerful machine learning library that provides a wide variety of modules for data access, data preparation and statistical model building.

In 10 listsDetails

CatBoost

General purpose gradient boosting on decision trees library with categorical features support out of the box. It is easy to install, contains fast inference implementation and supports CPU and GPU (even multi-GPU) computation.

In 10 listsDetails