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The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
Convert AI papers to GUI，Make it easy and convenient for everyone to use artificial intelligence technology。让每个人都简单方便的使用前沿人工智能技术
PyTorch code and models for the DINOv2 self-supervised learning method.
YOLOv6: a single-stage object detection framework dedicated to industrial applications.
Reference models and tools for Cloud TPUs.
Learn python3 in one picture.
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
Homepage for STAT 157 at UC Berkeley
Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.
DeepStream SDK Python bindings and sample applications
wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch
The book every data scientist needs on their desk.
Evaluation of the CNN design choices performance on ImageNet-2012.
Efficient Learning of Augmentation Policy Schedules
Face Renderer to perform Domain (Face) Specific Data Augmentation
Seed, Expand, Constrain: Three Principles for Weakly-Supervised Image Segmentation
Deep fusion project of deeply-fused nets, and the study on the connection to ensembling
Detecting and counting small objects - Analysis, review and application to counting
From scratch implementation of a vision language model in pure PyTorch
Scene Text Recognition (STR) methods trained with fewer real labels (CVPR 2021)
SphereFace+ Implementation for <Learning towards Minimum Hyperspherical Energy> in NIPS'18.
Code implementation of Data Efficient Stagewise Knowledge Distillation paper.