Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)

Computation using data flow graphs for scalable machine learning

谷歌访问助手破解版

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.

Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch

Tensorflow tutorial from basic to hard

A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.

An open-source platform for Visual AI.

Neural style in TensorFlow! 🎨

Tensorflow prebuilt binary for Windows

Code for Discriminability objective for training descriptive captions(CVPR 2018)

Train embodied agents that can answer questions in environments

Repository containing code for the paper "IQA: Visual Question Answering in Interactive Environments"

An implementation of Probabilistic Soft Logic Engine using Python/Gurobi

Automatic image captioning model based on Caffe, using features from bottom-up attention.

Image-to-image translation in PyTorch (e.g. horse2zebra, edges2cats, and more)

An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge.

Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

吴恩达老师的机器学习课程个人笔记

PyTorch implementation of batched bi-RNN encoder and attention-decoder.

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

机器学习相关教程

A curated list of awesome Self-Supervised methods

Minimal Seq2Seq model with Attention for Neural Machine Translation in PyTorch

pytorch neural network attention mechanism

A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules

An implementation of CycleGan using TensorFlow