Notes on Computer Graphics

去掉华尔街日报和经济学人的付费墙。remove the paywalls of The Wallstreet Journal & The Economist.

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

Code for the paper "Language Models are Unsupervised Multitask Learners"

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

All Algorithms implemented in Python

镜像：https://coding.net/u/scaffrey/p/hosts/git

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Open Source Neural Machine Translation in PyTorch

My blogs and code for machine learning. http://cnblogs.com/pinard

[ICLR 2018] Learning to Count Objects in Natural Images for Visual Question Answering

Python package built to ease deep learning on graph, on top of existing DL frameworks.

A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.

Pytorch implementation of winner from VQA Chllange Workshop in CVPR'17

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

Research Framework for easy and efficient training of GANs based on Pytorch

An informal pytroch reimplementation of Dynamic Fusion with Intra- and Inter-modality Attention Flow for Visual Question Answering

A Complete PyTorch 1.0 Implementation of Gated Graph Sequence Neural Networks (GGNN)

Code for our paper: Learning Conditioned Graph Structures for Interpretable Visual Question Answering

Code for Neural Motifs: Scene Graph Parsing with Global Context (CVPR 2018)

Code for GHA (ACCV2018)

Build Graph Nets in Tensorflow

Implementation for the paper "Compositional Attention Networks for Machine Reasoning" (Hudson and Manning, ICLR 2018)

Repository for OpenCV's extra modules

A toolkit for developing and comparing reinforcement learning algorithms.

Open Source Computer Vision Library

Convolutional Neural Networks

💬 A better WeChat on macOS and Linux. Built with Electron by Zhongyi Tong.

Unofficial pytorch implementation for Self-critical Sequence Training for Image Captioning (Arbitrary image captioning not supported yet.)