YunYang1994 / Tensorflow2.0 Examples
Licence: mit
π Difficult algorithm, Simple code.
Stars: β 1,397
Labels
Projects that are alternatives of or similar to Tensorflow2.0 Examples
Deep Learning With Python
Deep learning codes and projects using Python
Stars: β 195 (-86.04%)
Mutual labels: object-detection, jupyter-notebook, image-classification, resnet, vgg16
Starnet
StarNet
Stars: β 141 (-89.91%)
Mutual labels: jupyter-notebook, deep-neural-networks, gan, pix2pix
Yolov3 Tf2
YoloV3 Implemented in Tensorflow 2.0
Stars: β 2,327 (+66.57%)
Mutual labels: object-detection, jupyter-notebook, yolov3, tensorflow-examples
Gans In Action
Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
Stars: β 748 (-46.46%)
Mutual labels: jupyter-notebook, deep-neural-networks, gan
Person remover
People removal in images using Pix2Pix and YOLO.
Stars: β 96 (-93.13%)
Mutual labels: jupyter-notebook, yolov3, pix2pix
Machine Learning
λ¨Έμ λ¬λ μ
λ¬Έμ νΉμ μ€ν°λλ₯Ό μ€λΉνμλ λΆλ€μκ² λμμ΄ λκ³ μ λ§λ repositoryμ
λλ€. (This repository is intented for helping whom are interested in machine learning study)
Stars: β 705 (-49.53%)
Mutual labels: jupyter-notebook, gan, tensorflow-examples
Dogs vs cats
η«η倧ζ
Stars: β 570 (-59.2%)
Mutual labels: jupyter-notebook, image-classification, resnet
Deep learning projects
Stars: β 28 (-98%)
Mutual labels: jupyter-notebook, gan, image-classification
Tensorlayer
Deep Learning and Reinforcement Learning Library for Scientists and Engineers π₯
Stars: β 6,796 (+386.47%)
Mutual labels: object-detection, reinforcement-learning, gan
Channel Pruning
Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)
Stars: β 979 (-29.92%)
Mutual labels: object-detection, deep-neural-networks, image-classification
Alpha pooling
Code for our paper "Generalized Orderless Pooling Performs Implicit Salient Matching" published at ICCV 2017.
Stars: β 51 (-96.35%)
Mutual labels: jupyter-notebook, image-classification, vgg16
Yolo Tf2
yolo(all versions) implementation in keras and tensorflow 2.4
Stars: β 695 (-50.25%)
Mutual labels: object-detection, deep-neural-networks, yolov3
Saliency
TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques
Stars: β 648 (-53.61%)
Mutual labels: object-detection, jupyter-notebook, deep-neural-networks
Bmw Tensorflow Training Gui
This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoCode training with TensorFlow has never been so easy.
Stars: β 736 (-47.32%)
Mutual labels: object-detection, deep-neural-networks, resnet
Pix2pixhd
Synthesizing and manipulating 2048x1024 images with conditional GANs
Stars: β 5,553 (+297.49%)
Mutual labels: deep-neural-networks, gan, pix2pix
Concise Ipython Notebooks For Deep Learning
Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.
Stars: β 23 (-98.35%)
Mutual labels: jupyter-notebook, deep-neural-networks, image-classification
Computervision Recipes
Best Practices, code samples, and documentation for Computer Vision.
Stars: β 8,214 (+487.97%)
Mutual labels: object-detection, jupyter-notebook, image-classification
Mish
Official Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]
Stars: β 1,072 (-23.26%)
Mutual labels: object-detection, jupyter-notebook, image-classification
Deep Ranking
Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same
Stars: β 64 (-95.42%)
Mutual labels: deep-neural-networks, image-classification, resnet
Tf Tutorials
A collection of deep learning tutorials using Tensorflow and Python
Stars: β 524 (-62.49%)
Mutual labels: jupyter-notebook, gan, resnet
πTensorFlow2.0-Examplesπ!
"Talk is cheap, show me the code." ----- Linus Torvalds
Created by
YunYang1994
This tutorial was designed for easily diving into TensorFlow2.0. it includes both notebooks and source codes with explanation. It will be continuously updated ! ππππππ
Contents
1 - Introduction
- Hello World (notebook) (code). Very simple example to learn how to print "hello world" using TensorFlow.
- Variable (notebook) (code). Learn to use variable in tensorflow.
- Basical operation (notebook) (code). A simple example that covers TensorFlow basic operations.
- Activation (notebook) (code). Start to know some activation functions in tensorflow.
- GradientTape (notebook) (code). Introduce a key technique for automatic differentiation
2 - Basical Models
- Linear Regression (notebook) (code). Implement a Linear Regression with TensorFlow.
- Logistic Regression (notebook) (code). Implement a Logistic Regression with TensorFlow.
- Multilayer Perceptron Layer (notebook) (code). Implement Multi-Layer Perceptron Model with TensorFlow.
- CNN (notebook) (code). Implement CNN Model with TensorFlow.
3 - Neural Network Architecture
- VGG16 (notebook) (code)(paper). VGG16: Very Deep Convolutional Networks for Large-Scale Image Recognition.
- Resnet (notebook) (code)(paper). Resnet: Deep Residual Learning for Image Recognition. π₯π₯π₯
- AutoEncoder (notebook) (code)(paper). AutoEncoder: Reducing the Dimensionality of Data with Neural Networks.
4 - Object Detection
- MTCNN (notebook) (code)(paper). MTCNN: Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks. (Face detection and Alignment) π₯π₯
- Faster R-CNN (notebook) (code)(paper). Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks.π₯π₯π₯π₯ γTO DOγ
5 - Image Segmentation
- FCN (notebook) (code)(paper). FCN: Fully Convolutional Networks for Semantic Segmentation. π₯π₯π₯π₯π₯
- Unet (notebook) (code)(paper). U-Net: Convolutional Networks for Biomedical Image Segmentation. π₯π₯
6 - Generative Adversarial Networks
- DCGAN (notebook) (code)(paper). Deep Convolutional Generative Adversarial Network.
- Pix2Pix (notebook) (code)(paper). Image-to-Image Translation with Conditional Adversarial Networks.
7 - Utils
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].