5921 Open source projects that are alternatives of or similar to Learn Data Analysis W Python

Materials for talk at PyData London 2016

Deep-learning seismic facies on state-of-the-art CNN architectures

This is our implementation of Probabilistic Noise2Void

Make a pull request. Let's hack the ocktober in an innovative way.

Exploring Audio Features and building a Machine Learning Approach

The source code to reproduce the results reported in the 'Federated Online Learning to Rank with Evolution Strategies' paper, published at WSDM 2019.

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

(Winter 2015) Python for Data Mining mini-course.

MSc group project: Reproduction of 'Multi-Task Learning using Uncertainty to Weigh Losses for Scene Geometry and Semantics'; A. Kendall, Y. Gal, R. Cipolla

Visualization Toolbox for Long Short Term Memory networks (LSTMs)

DeepRacer workshop content

A fintech tutorial using Python

Some of my simple neural networks

Pytorch code for multi-Instance multi-label problem

TinyML example showing how to do anomaly detection with Python and Arduino

Slides, Assignments, Solutions

PyTorch code for Paper "Uncertainty Estimations by Softplus normalization in Bayesian Convolutional Neural Networks with Variational Inference"

Using Data Science and Machine Learning to find an apartment in Amsterdam.

An example on how Correlation Matrix can be displayed and clustered

Large-scale Graph Mining with Spark

✍️ Convolutional Recurrent Neural Network in Pytorch | Text Recognition

All about Neural Networks!

To make a library of models that aim to understand the spread of COVID19 in adequate scenarios of the Brazilian population

implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)

My IJulia notebooks

PyTorch implement of Google Deep Dream

A tutorial for using YOLACT in Google Colab

Common data science and data engineering utilities to help us perform analytics. Our toolbox for data scientists, licensed under Apache-2.0

Python training for business analysts and traders

QA - Answer Selection (Rank candidate answers for a given question)

Dockerfile of Jupyter (IPython notebook) and IOCaml (OCaml kernel) with libraries for data science and machine learning

https://www.kaggle.com/c/carvana-image-masking-challenge

Apache Zeppelin notebooks for Recommendation Engines using Keras and Machine Learning on Apache Spark

Open Matrix (OMX)

gradient based training of Quantum Circuit Born Machine

Corrosion Detection from Images

Jupyter magics and kernels for working with remote Spark clusters

Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016)

Attempting to make the Deep Learning Book easier to understand.

A collection of Machine Learning Google_Colab_Notebooks

Python Teaching, Seminars for 2nd year students of School of Linguistics NRU HSE

Stock price trend analysis using Fourier transform

DEPRECATED Mermaid diagrams in the Jupyter Notebook

My weekly of machine learning. Collection of implemented algorithms.

Deep Recurrent Q-Learning vs Deep Q Learning on a simple Partially Observable Markov Decision Process with Minecraft

A Machine Learning and Real-Time Data Analytics Workshop

Public course material

Tutorial on stats and probability

multithreading/multiprocessing with ipywidgets and jupyter notebooks