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Python - 100天从新手到大师
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
100-Days-Of-ML-Code中文版
A collection of various deep learning architectures, models, and tips
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Best Practices, code samples, and documentation for Computer Vision.
A collection of pre-trained, state-of-the-art models in the ONNX format
Image restoration with neural networks but without learning.
Visualizations for machine learning datasets
COCO API - Dataset @ http://cocodataset.org/
Tutorials and programming exercises for learning Q# and quantum computing
Single Shot MultiBox Detector in TensorFlow
Microsoft Quantum Development Kit Samples
Fast and flexible AutoML with learning guarantees.
Grounded SAM 2: Ground and Track Anything in Videos with Grounding DINO, Florence-2 and SAM 2
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).
A Modular Framework for 3D Gaussian Splatting and Beyond
Demo of running NNs across different frameworks
time series analysis tutorial
A PyTorch implementation of the paper "EDGS: Eliminating Densification for Efficient Convergence of 3DGS"
Gathers Python deployment, infrastructure and practices.
Official code for "No time to train! Training-Free Reference-Based Instance Segmentation"
Udacity Project - Vehicle Detection
Object detection and segmentation for a surgery robot using Mask-RCNN on Python 3, Keras, and TensorFlow..
nightrome / cocostuffapi
Forked from cocodataset/cocoapiCOCO Stuff API
这个项目是基于论文YOLO9000: Better, Faster, Stronger的keras（backend：tensorflow）实现