6780 Open source projects that are alternatives of or similar to Linear Attention Recurrent Neural Network

Hadoop, Spark and Storm based anomaly detection implementations for data quality, cyber security, fraud detection etc.

Python/Jupyter notebooks for Volume 2 of "Deep Learning - From Basics to Practice" by Andrew Glassner

Data science and Big Data with Python

IPython Notebook for training a word-level Convolutional Neural Network model for sentiment classification task on Yelp-Challenge-2016 review dataset.

A PyTorch implementation of "WaveFlow: A Compact Flow-based Model for Raw Audio"

S3FD: single shot face detector in pytorch

Authors' implementation of DeepSpeech Distances.

Implementation of Excitation Backprop in Caffe

Set of Jupyter Notebooks, along with datafiles, to get started with Scientific Computing in Astronomy

TensorFlow Lab for Self-Driving Car ND

Bias detection in the news. Back and front end for areyoufakenews.com

All Kaggle competitions

See https://meta.wikimedia.org/wiki/Research:Modeling_Talk_Page_Abuse

Anything can happen in the next half hour (including spectral timing made easy)!

Machine learning with Python tutorial at MSU Data Science 2018

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

📚 机器学习基石和机器学习技法作业

This repository contains supporting examples which are referenced from posts published on www.quantandfinancial.com

Reformer, the efficient Transformer, in Pytorch

State of the Art results in Intent Classification using Sematic Hashing for three datasets: AskUbuntu, Chatbot and WebApplication.

Text Generation Using A Variational Autoencoder

Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier

Create a knowledge base using domain specific documents and the mammoth python library

Scripts for downloading AudioSet

Bayesian neural network package

深度学习面试汇总，基本知识点的查漏补缺

PyTorch implementation/experiments on Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond paper.

This repository contains a throughout explanation on how to create different deep learning models in Keras for multivariate (tabular) time series prediction.

Research Methods for Data Science with Python

Normalizing Flows in Jax

This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

💭 This is the accompanying repo for my article on converting a Jupyter Notebook to a streamlit web app.

A End to End CNN Model which predicts the steering wheel angle based on the video/image

Authors official implementation of "Big GANs Are Watching You" pre-print

Algorithmic Trading using Sentiment Analysis on News Articles

American Gut open-access data and IPython notebooks

PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3

PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course

Course materials and handouts for #100DaysOfCode in Python course

The purpose of our research is to study reinforcement learning approaches to building a movie recommender system. We formulate the problem of interactive recommendation as a contextual multi-armed bandit.

Tacotron 2 - PyTorch implementation with faster-than-realtime inference modified to enable cross lingual voice cloning.

A collection of non-residential buildings for performance analysis and algorithm benchmarking

A Code Pattern focusing on how to train a machine learning language model while using Keras and Tensorflow

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info

Sample sample scripts and notebooks on processing satellite imagery

Master Thesis: Limit order placement with Reinforcement Learning

100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

Code for "A-NICE-MC: Adversarial Training for MCMC"

Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis

Fined grained classification On Car dataset

Library of Stan Models for Survival Analysis

PyTorch Implementations of Coursera's Deep Learning(deeplearning.ai) Specialization

R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation

Montréal Deep Learning Summer School 2016 material

PyTorch implementation of "Weight Uncertainty in Neural Networks"

Artificial Learning, Intelligent Machines