5983 Open source projects that are alternatives of or similar to Da Tutorials

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Probabilistic reasoning and statistical analysis in TensorFlow

Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/presentation/30/ video: https://www.youtube.com/watch?v=Jb9eklfbDyg

Statistical Rethinking with PyTorch and Pyro

Notebooks about Bayesian methods for machine learning

A collection of Bayesian data analysis recipes using PyMC3

Data Assimilation with Python: a Package for Experimental Research

A simple probabilistic programming language.

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

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

Bayesian methods in deep learning Summer School

Adaptive and Focusing Neural Layers for Multi-Speaker Separation Problem

Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding

This toolbox is support material for the book on CNN (http://www.convolution.network).

🐍 Python visualization tools for openPMD files

End to end OCR system for Telugu. Based on Convolutional Neural Networks.

Sample Notebooks for PipelineAI

Quilt is a self-organizing data hub for S3

Toolbox repository for Tiger team

Best Practices, code samples, and documentation for Computer Vision.

Procedural terrain generation for video games has been traditionally been done with smartly designed but handcrafted algorithms that generate heightmaps. We propose a first step toward the learning and synthesis of these using recent advances in deep generative modelling with openly available satellite imagery from NASA.

Python framework for Virtual Heart Rate

IPython notebooks for Plotly plots

Implementations of CNNs, RNNs, GANs, etc

An analysis of different intelligent control techniques (evolutionary alg., reinf. learn., neural networks) applied to robotic manipulators.

Unofficial implementation of 'Implicit Neural Representations with Periodic Activation Functions'

Material for Pandas Tutorial at Pydata Carolinas 2016

The Foundations of Computer Science XSeries, offered by the M.I.T. Department of Electrical Engineering and Computer Science, is a sequence of courses that introduce key concepts of computer science and computational thinking. Students apply these concepts and build their engineering skills by completing software and hardware design problems. Additionally, students test their understanding by taking a series of exams.

Super simple heartbeat and metrics monitoring

🍣 Implementations of fundamental algorithms and data structures. Happy Hacktoberfest!

Notebook from the Deep Learning Twitch Series on AWS (https://twitch.tv/aws)

Course Materials Big Data and Automated Content Analysis

DL course co-developed by YSDA, HSE and Skoltech

🌻 提供一系列的 Python 教學，讓初學者或是有程式基礎的人，快速融入 Python 的世界

My solution to the book A Collection of Data Science Take-Home Challenges

This code shows how to get Twitter users interests combining Twitter API and MonkeyLearn.

Experiments for Jeremy Howard's deep learning courses

"Neural Turing Machine" in Tensorflow

Code for 'The Grand Atari Challenge dataset' paper

Dynamic seq2seq in TensorFlow, step by step

Few of the essential image augmentation techniques.

Notebooks and files for the Python for Journalists course on Datajournalism.com

Theano/Lasagne based Neural artistic style transfer with Kivy GUI

Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)

DEEP-LEARNING-practical-introduction-with-Keras

Remote photoplethysmography measures heart rate of a person without any contact, from their video. This is an implementation of rPPG called as Plane Orthogonal-to-Skin (POS) as described in the IEEE paper - "Algorithmic Principles of Remote PPG," W. Wang, A. C. den Brinker, S. Stuijk and G. de Haan.

We pit Keras and PyTorch against each other, showing their strengths and weaknesses in action. We present a real problem, a matter of life-and-death: distinguishing Aliens from Predators!

A set of examples for using open source tools on IBM i

Thailand Election'62 Candidate Information Browsing Website

Code example to predict prices of Airbnb vacation rentals, using scikit-learn on Spark with spark-sklearn, on MapR.

Deep Neural Network Trading collection of Tensorflow Jupyter notebooks

This easy-to-use library splits images and its bounding box annotations into tiles, both into specific sizes and into any arbitrary number of equal parts. It can also resize them, both by specific sizes and by a resizing/scaling factor.

Curso sobre Aprendizaje Profundo por Refuerzo en ECI 2019

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

本项目是TensorFlow2.0学习笔记，主要参考官方文档，此外也添加个人许多个人使用心得体会等内容，本项目所有笔记也发布在博客园等平台，希望对你有所帮助。