Pinned Repositories
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848475885.github.io
AdversarialNetsPapers
The classical paper list with code about generative adversarial nets
Butterfly_species_detector_keras
This repository contains the keras implementation of an algorithm to classify different species of butterflies
Deep-Learning-Book-Chapter-Summaries
Attempting to make the Deep Learning Book easier to understand.
deeplearning.ai
There are all deeplearning.ai assigniment of Andrew Ng in coursera
Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
GANotebooks
wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
TensorFlow-Object-Detection-API-Tutorial-Train-Multiple-Objects-Windows-10
How to train a TensorFlow Object Detection Classifier for multiple object detection on Windows
848475885's Repositories
848475885/TensorFlow-Object-Detection-API-Tutorial-Train-Multiple-Objects-Windows-10
How to train a TensorFlow Object Detection Classifier for multiple object detection on Windows
848475885/-
848475885/848475885.github.io
848475885/AdversarialNetsPapers
The classical paper list with code about generative adversarial nets
848475885/Butterfly_species_detector_keras
This repository contains the keras implementation of an algorithm to classify different species of butterflies
848475885/Deep-Learning-Book-Chapter-Summaries
Attempting to make the Deep Learning Book easier to understand.
848475885/deeplearning.ai
There are all deeplearning.ai assigniment of Andrew Ng in coursera
848475885/Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
848475885/GANotebooks
wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch
848475885/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
848475885/hello-world
111
848475885/helloworld
848475885/hyperas
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
848475885/keras
Deep Learning for humans
848475885/LRT-HDR
Python code and data for "Deep Unrolled Low-Rank Tensor Completion for High Dynamic Range Imaging"
848475885/mAP
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
848475885/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
848475885/models
Models and examples built with TensorFlow
848475885/PlotNeuralNet
Latex code for making neural networks diagrams
848475885/PnPRetinex
848475885/practicalAI
A practical approach to learning machine learning.
848475885/pytorch-CycleGAN-and-pix2pix
Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)
848475885/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
848475885/RAUNA_2023
848475885/shangjike
848475885/tensorflow
848475885/UIQM
848475885/video-quality
Video quality metrics, reference implementation in python: VIF, SSIM, PSNR, ...
848475885/YAD2K
YAD2K: Yet Another Darknet 2 Keras
848475885/yolo2
这个项目是基于论文YOLO9000: Better, Faster, Stronger的keras（backend：tensorflow）实现