Awesome Data Analysis
Section: Tools · YOLOv8 and other computer vision models.
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Appears in 6 awesome lists
Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
Section: Tools · YOLOv8 and other computer vision models.
Section: Deep Learning Packages
Section: C · Ultralytics' YOLOv8 implementation with C++ support for real-time object detection and tracking, optimized for edge devices.
Section: 11. Specialized Domains · State-of-the-art real-time object detection.
Section: Computer Vision · Ultralytics YOLO for object detection, segmentation, pose estimation, classification, and tracking.
Section: Computer Vision · Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
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.
(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.
Visualizer for deep learning and machine learning models (no Python code, but visualizes models from most Python Deep Learning frameworks).
(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…
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]
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.
Scikit-learn is a powerful machine learning library that provides a wide variety of modules for data access, data preparation and statistical model building.