Message Passing Neural Networks for Molecule Property Prediction

This repository contains implementations and illustrative code to accompany DeepMind publications

transformer/self-attention for Multidimensional time series forecasting 使用transformer架构实现多维时间预测

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

⭐ Linux / Windows / macOS 跨平台 V2Ray 客户端 | 支持 VMess / VLESS / SSR / Trojan / Trojan-Go / NaiveProxy / HTTP / HTTPS / SOCKS5 | 使用 C++ / Qt 开发 | 可拓展插件式设计 ⭐

This is an unofficial implementation for the paper "NEIGHBOR2NEIGHBOR: SELF-SUPERVISED DENOISING FROM SINGLE NOISY IMAGES"

Decensoring Hentai with Deep Neural Networks

Read and extract text and other content from PDFs in C# (port of PdfBox)

Implementation of PFLD A Practical Facial Landmark Detector , reference to https://arxiv.org/pdf/1902.10859.pdf

MaskRCNN on PubLayNet datasets. Paragraph detection, table detection, figure detection,...

Implementation of PFLD For 68 Facial Landmarks By Pytorch

总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括各种面试题，基础知识，工程能力等等，提升核心竞争力

Fork of the official sources for the RDKit library

Models and examples built with TensorFlow

Tensors and Dynamic neural networks in Python with strong GPU acceleration

This is the official location of the Kaldi project.

XLNet: Generalized Autoregressive Pretraining for Language Understanding

Winning solution for the Kaggle TGS Salt Identification Challenge.

TensorFlow code and pre-trained models for BERT

AI比赛相关

In PyTorch Learing Neural Networks Likes CNN(Convolutional Neural Networks for Sentence Classification (Y.Kim, EMNLP 2014) 、LSTM、BiLSTM、DeepCNN 、CLSTM、CNN and LSTM

data source for lectures.

Python interface to Google word2vec

Dataset that was used during the PHM IEEE 2012 Data Challenge, built by the FEMTO-ST Institute

A Machine Learning System for Data Enrichment.

Tutorial for the Teach-Discover-Treat (TDT) Competition 2014 - Challenge 1: Anti-Malaria hit finding using classifier-fusion boosted predictive models

Ready to use implementations of various Deep Learning algorithms using TensorFlow.