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written in Python
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All Algorithms implemented in Python
AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
💫 Industrial-strength Natural Language Processing (NLP) in Python
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
PyTorch Tutorial for Deep Learning Researchers
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
PyTorch implementations of Generative Adversarial Networks.
Datasets, Transforms and Models specific to Computer Vision
A very simple framework for state-of-the-art Natural Language Processing (NLP)
The easy-to-use and developer-friendly enterprise CMS powered by Django
Integrated set of Django applications addressing authentication, registration, account management as well as 3rd party (social) account authentication. 🔁 Mirror of https://codeberg.org/allauth/djan…
A faster pytorch implementation of faster r-cnn
Google AI 2018 BERT pytorch implementation
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
A modern theme based on vue+element-ui for django admin.一款基于vue+element-ui的django admin现代化主题。全球20000+网站都在使用！喜欢可以点个star✨
Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning
Dual Attention Network for Scene Segmentation (CVPR2019)
A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
Pytorch implementation of RetinaNet object detection.
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
Simple yet powerful and really extendable application for managing a blog within your Django Web site.
A python tool for evaluating the quality of sentence embeddings.
Implementation of Sequence Generative Adversarial Nets with Policy Gradient
PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
Examples of using sparse attention, as in "Generating Long Sequences with Sparse Transformers"
An open source framework for seq2seq models in PyTorch.
I decide to sync up this repo and self-critical.pytorch. (The old master is in old master branch for archive)