6139 Open source projects that are alternatives of or similar to Applied Dl 2018

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Paper reading notes on Deep Learning and Machine Learning

🔥机器学习/深度学习/Python/算法面试/自然语言处理教程/剑指offer/machine learning/deeplearning/Python/Algorithm interview/NLP Tutorial

Important paper implementations for Question Answering using PyTorch

Voice Conversion using Cycle GAN's For Non-Parallel Data

RadIO is a library for data science research of computed tomography imaging

Learn how to use PyTorch to solve some common NLP problems with deep learning.

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

Keras implementation of the multi-channel cascaded architecture introduced in the paper "Brain Tumor Segmentation with Deep Neural Networks"

🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease

Tutorial for End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info

DLTK Model Zoo

This is code of book "Learn Deep Learning with PyTorch"

Some example scripts on pytorch

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

pytorch 包教不包会

Kind PyTorch Tutorial for beginners

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models

We pit Keras and PyTorch against each other, showing their strengths and weaknesses in action. We present a real problem, a matter of life-and-death: distinguishing Aliens from Predators!

PyTorch tutorial for learners

Visual Attribute Transfer through Deep Image Analogy in PyTorch!

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

A deep learning approach to predicting breast tumor proliferation scores for the TUPAC16 challenge

Wining solution and its improvement for MICCAI 2017 Robotic Instrument Segmentation Sub-Challenge

PyTorch tutorials A to Z

My Attempt(s) In The World Of ML/DL....

验证码识别

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

Pytorch starter kit for Kaggle competitions

Check out improved:

Thinking in tensors, writing in PyTorch (a hands-on deep learning intro)

Building an ACL tear detector to spot knee injuries from MRIs with PyTorch (MRNet)

Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes

Readable implementation of a Capsule Network as described in "Dynamic Routing Between Capsules" [Hinton et. al.]

Github repo with tutorials to fine tune transformers for diff NLP tasks

tuyển chọn các tài liệu về công nghệ bằng tiếng Việt

Early stopping for PyTorch

Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics

Implementing Siamese networks with a contrastive loss for similarity learning

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

本仓库将PyTorch官方书籍《Deep learning with PyTorch》（基本摘录版）翻译成中文版并给出可运行的相关代码。

A community run, 5-day PyTorch Deep Learning Bootcamp

Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]

PyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.

Google2Csv a simple google scraper that saves the results on a csv/xlsx/jsonl file

SQLCell is a magic function for the Jupyter Notebook that executes raw, parallel, parameterized SQL queries with the ability to accept Python values as parameters and assign output data to Python variables while concurrently running Python code. And *much* more.

Repositorio en el que se encontrarán diversos materiales, códigos, videos y ejercicios para el aprendizaje del lenguaje Python.

Python for engineers

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.

Supporting notebooks and data from hypertools paper

Informal IPython experiments and tutorials. TensorFlow, machine learning/deep learning/RL, NLP applications.

Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course

A citation recommendation system that allows users to find relevant citations for their paper drafts. The tool is backed by Semantic Scholar's OpenCorpus dataset.

NBA shot charts using matplotlib, seaborn, and bokeh.