1613 Open source projects that are alternatives of or similar to Ntm One Shot Tf

EPFL summaries & cheatsheets over 5 years (computer science, communication systems, data science and computational neuroscience).

An awesome list of events and fellowship opportunities for Computer Science students

An Elegant Neural Network User Interface to build drag-and-drop neural networks, train in the browser, visualize during training, and export to Python.

A Python module for continuous wavelet spectral analysis. It includes a collection of routines for wavelet transform and statistical analysis via FFT algorithm. In addition, the module also includes cross-wavelet transforms, wavelet coherence tests and sample scripts.

Tutorial for End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF

A neural network that transforms a design mock-up into a static website.

Xaynet represents an agnostic Federated Machine Learning framework to build privacy-preserving AI applications.

PyTorch implementation of Full Resolution Image Compression with Recurrent Neural Networks

Implementation of the paper - Generative Recurrent Networks for De Novo Drug Design.

Neural Networks that invent their own encryption 🔑

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A community run, 5-day PyTorch Deep Learning Bootcamp

Dilated CNNs for NER in TensorFlow

There are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.

The "Python Machine Learning (1st edition)" book code repository and info resource

Automatic Item List Extraction

Kotlin API for Lets-Plot - an open-source plotting library for statistical data.

🎧 Automatic Speech Recognition: DeepSpeech & Seq2Seq (TensorFlow)

Content for architecting a data science platform for products using Luigi, Spark & Flask.

Welcome everyone!🌟 Here you can solve problems, build scrappers and much more💻

Code and helper scripts for article on Medium "How Docker Can Help You Become A More Effective Data Scientist"

List of textual data sources to be used for text mining in R

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

Maze Applied Reinforcement Learning Framework

Research Software Engineering with Python course material

document classification using LSTM + self attention

A platform for analysis & development of machine learning models using large de-identified healthcare datasets.

Official Pytorch code for (AAAI 2020) paper "Capsule Routing via Variational Bayes", https://arxiv.org/pdf/1905.11455.pdf

Tutorial Sessions for SciPy Con 2019

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A simple effective ToolKit for short text matching

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This is Andrew NG Coursera Handwritten Notes.

Neural machine translator for English2German translation.

Deploy machine learning projects developed in Python, to Kubernetes. Accelerated MLOps 🚀

A Tensorfflow implementation of Attend, Infer, Repeat

Apuntes personales sobre estadística, machine learning y lenguaje de programación R

R package to interface with OpenML

A repo for data science related questions and answers

Self-study plan to achieve mastery in data science

R package for exploratory data analysis

copper price(time series) prediction using bpnn and lstm

Machine learning fundamentals lesson in interactive notebooks

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A python implementation of DEPTA

基于RNN生成古诗

Using A.I. and computer vision to build a virtual personal fitness trainer. (Most Startup-Viable Hack - HackNYU2018)

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Statistical Interactive Visualization with pandas+Jupyter integration on top of Echarts.

Data science and Big Data with Python

A curated list of awesome machine learning frameworks, libraries, courses, books and many more.

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Graphing communities on Twitch.tv in a visually intuitive way