94 Open source projects that are alternatives of or similar to intro-computervision

PyTorch tutorials A to Z

The Continuous Bag-of-Words model (CBOW) is frequently used in NLP deep learning. It's a model that tries to predict words given the context of a few words before and a few words after the target word.

Pytorch deep learning face frontalization model

A best practice for deep learning project template architecture.

验证码识别

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

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

A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)

Tel-Aviv Deep Learning Boot-camp: 12 Applied Deep Learning Labs

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

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。

Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"

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

A lightweight library designed to accelerate the process of training PyTorch models by providing a minimal, but extensible training loop which is flexible enough to handle the majority of use cases, and capable of utilizing different hardware options with no code changes required. Docs: https://pytorch-accelerated.readthedocs.io/en/latest/

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

SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

tuyển chọn các tài liệu về công nghệ bằng tiếng Việt

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!

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!

A unified ensemble framework for Pytorch to improve the performance and robustness of your deep learning model

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

PyTorch 1.0 官方文档 中文版，欢迎关注微信公众号：磐创AI

A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.

[Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch

PyTorch 官方中文教程包含 60 分钟快速入门教程，强化教程，计算机视觉，自然语言处理，生成对抗网络，强化学习。欢迎 Star，Fork！

PyTorch Tutorial for Deep Learning Researchers

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

Visual Attribute Transfer through Deep Image Analogy in PyTorch!

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

PyTorch tutorial for learners

Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

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

Filter visualization, Feature map visualization, Guided Backprop, GradCAM, Guided-GradCAM, Deep Dream

A community run, 5-day PyTorch Deep Learning Bootcamp

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深度学习快速入门教程（绝对通俗易懂！）

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

Getting started with AllenNLP and PyTorch by training a tweet classifier

Some example scripts on pytorch

a series of tutorials on sequence to sequence learning, implemented with PyTorch.

Numerical Computation of Receptive Field in Pytorch

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

In-depth tutorials for implementing deep learning models on your own with PyTorch.

Implementing Siamese networks with a contrastive loss for similarity learning

Important paper implementations for Question Answering using PyTorch

Some tricks of pytorch... ⭐️

Duke Natural Language Processing Winter School 2020

Early stopping for PyTorch

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

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

pytorch tutorial for beginners

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

Implementation of Conditional Generative Adversarial Networks in PyTorch

Pytorch implementation of DeepDream on VGG16 Network

The aim of this repository is to show a baseline model for text classification by implementing a LSTM-based model coded in PyTorch. In order to provide a better understanding of the model, it will be used a Tweets dataset provided by Kaggle.

Hierarchical Attention Networks | a PyTorch Tutorial to Text Classification

Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning