6488 Open source projects that are alternatives of or similar to Graph Convolution Nlp

公众号：早起Python

Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras

Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

Deep learning infrastructure for bioinformatics

Implementation of character based convolutional neural network

Material for the tutorial: "Deep Diving into GANs: from theory to production"

线性代数笔记

Python is a multi-paradigm programming language. Meaning, it supports different programming approach. One of the popular approach to solve a programming problem is by creating objects. This is known as Object-Oriented Programming (OOP).

pandas中文教程

This Jupyter Notebook will help you downloading Coursera videos, subtitles and quizzes (but not answering the quiz). It will automatically download and convert vtt subtitle files into srt. All resources downloaded are numbered according to their sequence.

LargitData Course Material

This is the code for "LSTM Networks - The Math of Intelligence (Week 8)" By Siraj Raval on Youtube

A fast and lightweight AutoML library.

Utilities for preprocessing text for deep learning with Keras

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Open source ultrasound processing modules and building blocks

Data, Benchmarks, and methods submitted to the M5 forecasting competition

Deep learning course CE7454, 2019

A collection of Jupyter Notebooks for learning Python for Data Science.

This repository contains various ways to calculate sentence vector similarity using NLP models

Code for a workshop on statistical interference using computational methods in Python.

A practical feature engineering handbook

Urban Informatics and Visualization (UC Berkeley CP255)

Reference deployment of JupyterHub and nbgrader on a single server

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

Code for my medium article

InferSent sentence embeddings

基于深度学习的CTR预估，从FM推演各深度学习CTR预估模型（附代码）

subpixel: A subpixel convnet for super resolution with Tensorflow

Materials for PyCon 2017 presentation on optimizing Pandas code

A dialogue bot for information access

A Repository of Notebooks for the Python Lecture Site

网易云课堂终于官方发布了吴恩达经过授权的汉化课程-“”深度学习专项课程“”，这是自己做的一些笔记以及代码。下为网易云学习链接

Notebooks for Course

Visualizations based on best open science practices.

A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch

Çeşitli kütüphaneler kullanılarak Türkçe kod açıklamalarıyla TEMEL SEVİYEDE pratik derin öğrenme uygulamaları.

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

Data Engineering on Google Cloud Platform

TeachOpenCADD: a teaching platform for computer-aided drug design (CADD) using open source packages and data

Juliabox continues to run, but this codebase is no longer current.

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

Default English stopword lists from many different sources

A fast, extensible, transparent python library for backtesting quantitative strategies.

Mask R-CNN for Pulmonary Nodules Diagnosis, using TensorFlow 天池医疗AI大赛：Mask R-CNN肺部结节智能检测（Segmentation + Classification）

The Natural Language Decathlon: A Multitask Challenge for NLP

The BIGGAN based Anime generation implemented with tensorflow. All training data has been open sourced.

MTCNN with Motion Detection, on Raspberry Pi with Love

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

统计学习方法训练营课程作业及答案，视频笔记在线阅读地址：https://relph1119.github.io/statistical-learning-method-camp

Observations and notes to understand the workings of neural network models and other thought experiments using Tensorflow

Assignments and notes for the Self Driving Cars course offered by University of Toronto on Coursera

My personal notes, presentations, and notebooks on everything Deep Learning.

🍔

꼼꼼한 딥러닝 논문 리뷰와 코드 실습

A large-scale statistical machine translation system written in Java.