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pytorch-tutorial - PyTorch Tutorial for Deep Learning Researchers
This repository provides tutorial code for deep learning researchers to learn PyTorch. In the tutorial, most of the models were implemented with less than 30 lines of code. Before starting this tutorial, it is recommended to finish Official Pytorch Tutorial.
deep-learning pytorch-tutorial neural-networks pytorch tutorial tensorboardYOLO_v3_tutorial_from_scratch - Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"
About when is the training code coming? I have my undergraduate thesis this May, and will be busy. So, you might have to wait for a till the second part of May.
pytorch-tutorial pytorch-implmention object-detection yolo yolov3PyTorch-Tutorial - Build your neural network easy and fast
In these tutorials for pyTorch, we will build our first Neural Network and try to build some advanced Neural Network architectures developed recent years. Thanks for liufuyang's notebook files which is a great contribution to this tutorial.
neural-network pytorch-tutorial batch-normalization cnn rnn autoencoder pytorch regression classification batch tutorial dropout dqn reinforcement-learning gan generative-adversarial-network machine-learningDeep-Learning-Boot-Camp - A community run, 5-day PyTorch Deep Learning Bootcamp
Tel-Aviv Deep Learning Bootcamp is an intensive (and free!) 5-day program intended to teach you all about deep learning. It is nonprofit focused on advancing data science education and fostering entrepreneurship. The Bootcamp is a prominent venue for graduate students, researchers, and data science professionals. It offers a chance to study the essential and innovative aspects of deep learning. Participation is via a donation to the A.L.S ASSOCIATION for promoting research of the Amyotrophic Lateral Sclerosis (ALS) disease.
gpu nvidia docker-image machine-learning deep-learning data-science cuda-kernels kaggle-competition cuda pytorch pytorch-tutorials pytorch-tutorial bootcamp meetup kaggle kaggle-scripts pycudacode-of-learn-deep-learning-with-pytorch - This is code of book "Learn Deep Learning with PyTorch"
This is code of book "Learn Deep Learning with PyTorch"
pytorch pytorch-tutorial pytorch-tutorials-cnDeep-Learning-Project-Template - A best practice for deep learning project template architecture.
A simple and well designed structure is essential for any Deep Learning project, so after a lot practice and contributing in pytorch projects here's a pytorch project template that combines simplicity, best practice for folder structure and good OOP design. The main idea is that there's much same stuff you do every time when you start your pytorch project, so wrapping all this shared stuff will help you to change just the core idea every time you start a new pytorch project. In order to decrease repeated stuff, we recommend to use a high-level library. You can write your own high-level library or you can just use some third-part libraries such as ignite, fastai, mmcv … etc. This can help you write compact but full-featured training loops in a few lines of code. Here we use ignite to train mnist as an example.
deep-learning chainer keras pytorch pytorch-tutorialpytorch-beginner - pytorch tutorial for beginners
Toy project for pytorch beginner with simplest code.
pytorch pytorch-tutorialFacial-Similarity-with-Siamese-Networks-in-Pytorch - Implementing Siamese networks with a contrastive loss for similarity learning
The goal is to teach a siamese network to be able to distinguish pairs of images. This project uses pytorch. Any dataset can be used. Each class must be in its own folder. This is the same structure that PyTorch's own image folder dataset uses.
pytorch-tutorial deep-learning neural-network siamese-network pytorch face-recognitionPyTorch-docset - PyTorch docset! use with Dash, Zeal, Velocity, or LovelyDocs.
Generate a docset for PyTorch documentation (0.2.0) and tutorials.
pytorch docset pytorch-tutorialDeep-Image-Analogy-PyTorch - Visual Attribute Transfer through Deep Image Analogy in PyTorch!
Unofficial,PyTorch version of Deep Image Analogy.https://arxiv.org/abs/1705.01088. This project focuses on documentation of the project , and simplifying the structure. A blog post on it is coming soon. This project uses Adam as optimizer instead of LBFGS. LBFGS was giving really poor results.
deep-learning deep-neural-networks pytorch pytorch-tutorial neural-network machine-learning artificial-intelligencefrontalization - Pytorch deep learning face frontalization model
Despite the apparent pessimism of the audience, thanks to machine learning today anyone with a little bit of Python knowledge and a large enough dataset can take a stab at writing a sci-fi drama worthy program. How to use NVIDIA's DALI library for highly optimized pre-processing of images on the GPU and feeding them into a deep learning model.
pytorch pytorch-tutorial pytorch-implementation nvidia dali nvidia-dali face-frontalization deep-learning gan generative-adversarial-network computer-vision machine-learning scaleway scaleway-aiapplied-dl-2018 - Tel-Aviv Deep Learning Boot-camp: 12 Applied Deep Learning Labs
Tel-Aviv Deep Learning Boot-camp: 12 Applied Deep Learning Labs
pytorch-tutorial python3 keras deep-learning medical-imaging cancer-research pytorchpytorch-practice - Some example scripts on pytorch
92.82% mean F1 on test data.
pytorch pytorch-tutorial deep-learning machine-learningKeras-PyTorch-AvP-transfer-learning - We pit Keras and PyTorch against each other, showing their strengths and weaknesses in action
See also the upcoming webinar (10 Oct 2018), in which we walk trough the code.
keras pytorch keras-tutorials pytorch-tutorials alien predator keras-neural-networks keras-models keras-classification-models pytorch-tutorial pytorch-cnn pytorch-implementationpytorch-sentiment-analysis - Tutorials on getting started with PyTorch and TorchText for sentiment analysis
This repo contains tutorials covering how to do sentiment analysis using PyTorch 0.4 and TorchText 0.2.3 using Python 3.6. The first 2 tutorials will cover getting started with the de facto approach to sentiment analysis: recurrent neural networks (RNNs). The third notebook covers the FastText model and the final covers a convolutional neural network (CNN) model.
pytorch sentiment-analysis tutorial rnn lstm fasttext torchtext sentiment-classification cnn cnn-text-classification lstm-sentiment-analysis pytorch-tutorialPytorch-Keras-ToAndroid
The Android App uses Tensorflow-Mobile. You can find a prebuilt Sample APK in the release section.
pytorch pytorch-tutorial keras keras-tutorials tensorflow tensorflow-tutorials androiddeep-blueberry - If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!
If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!
machine-learning deep-neural-networks reinforcement-learning computer-vision deep-learning machine-learning-algorithms deep-reinforcement-learning recurrent-neural-networks generative-adversarial-network deep-learning-algorithms convolutional-neural-networks deep-learning-tutorial keras-tensorflow variational-autoencoder pytorch-tutorial long-short-term-memory pytorch-implementation
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