6244 Open source projects that are alternatives of or similar to Tensorflow On Android For Human Activity Recognition With Lstms

Neural machine translator for English2German translation.

Anomaly detection for temporal data using LSTMs

lidc nodule detection with CNN and LSTM network

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

[2017知乎看山杯 多标签 文本分类] ye组(第六名) 解题方案

文本情感分析

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

Another attempt to use Deep-Learning in the financial markets

Implementation of Neural Image Captioning model using Keras with Theano backend

Image Captioning using InceptionV3 and beam search

Application of machine learning to the Coinbase (GDAX) orderbook

Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.

Predict Race and Ethnicity Based on the Sequence of Characters in a Name

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

TensorFlow template application for deep learning

A library to model multivariate data using copulas.

A high performance implementation of HDBSCAN clustering.

Course materials for teaching data visualization in Python.

COMS W4995 Applied Machine Learning - Spring 18

Multiscale Geographically Weighted Regression (MGWR)

A Quick Look generator for Jupyter/IPython notebooks without further dependencies

Repo that contains the supporting material for O'Reilly Webinar "An Intro to Predictive Modeling for Customer Lifetime Value" on Feb 28, 2017

Object detection and segmentation for a surgery robot using Mask-RCNN on Python 3, Keras, and TensorFlow..

Tools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)

next generation slides for Jupyter Notebooks

An awesome semantic segmentation model that runs in real time

What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural network sees data throughout time, and activation functions are instead spikes that are raised past a certain pre-activation threshold. Pre-activation values constantly fades if neurons aren't excited enough.

code for py-R-FCN-multiGPU maintained by bupt-priv

Almost Real-time Object Detection using Apple's CoreML and YOLO v1 -

This is the hands-on deep learning tutorial series for the 2018/2019 Medical AI course by DeepOncology AI.

Jupyter Notebook exercises for k-means clustering with Python 3 and scikit-learn

(한국어) 텍스트 마이닝을 위한 공부거리들

In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.

Programs for stock prediction and evaluation

pyiron - an integrated development environment (IDE) for computational materials science.

Predict remaining useful life of a component based on historical sensor observations using automated feature engineering

How to perform an exploratory data analysis on the Kaggle Titanic dataset and make a submission to the leaderboard.

cell detection in calcium imaging recordings

Fast Depth Densification for Occlusion-Aware Augmented Reality

📚 The Open Source Education Initiative – a repository with resources for 60+ engineering subjects. Let's make education more open and accessible! 🚀✨

🍝 Pastas is an open-source Python framework for the analysis of hydrological time series.

[DEPRECATED] 🔊️ Audio with fastaiv1

Shifting More Attention to Video Salient Objection Detection, CVPR 2019 (Best paper finalist & Oral)

Open source notebooks to create state-of-the-art detection, segmentation, & classification of buildings on drone/aerial imagery with deep learning

This is the code for "Sentiment Analysis - Data Lit #1" by Siraj Raval on Youtube

Jupyter meets Vim. Vimmer will fall in love.

Mish Deep Learning Activation Function for PyTorch / FastAI

Links to Russian corpora + Python functions for loading and parsing

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

python100天学习资料

Pytorch implementation of a StyleGAN encoder. Images to latent space representation.

A replica of the AlphaZero methodology for deep reinforcement learning in Python

Lecture notebooks and coding assignments for the quantum machine learning MOOC created by Peter Wittek on EdX in the Spring 2019

Learn the pyspark API through pictures and simple examples

🐍 Learn Python and Pandas from the ground up

How to build RNNs and LSTMs from scratch with NumPy.

Keras Implementation of Neural Style Transfer from the paper "A Neural Algorithm of Artistic Style" (http://arxiv.org/abs/1508.06576) in Keras 2.0+