5921 Open source projects that are alternatives of or similar to Cheat Sheets

neon tutorials

Bayesian neural network package

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

Examples and IPython Notebooks about NetworkX

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

Applying transfer learning to a custom dataset by retraining Inception's final layer

An libary to price financial options written in Python. Includes: Black Scholes, Black 76, Implied Volatility, American, European, Asian, Spread Options

Rhythm Pattern music feature extractor by IFS @ TU-Vienna

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

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

Python 3

American Gut open-access data and IPython notebooks

Machine learning to classify Malicious (Spam)/Benign URL's

Implementations of "LSTM: A Search Space Odyssey" variants and their training results on the PTB dataset.

Breze with all the stuff.

Intro to Deep Learning, including recurrent, convolution, and feed forward neural networks.

Jupyter NoteBooks to get you boosted with the basics of python with hands-on-practice.

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

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

Image Captioning based on Bottom-Up and Top-Down Attention model

Normalizing Flows in Jax

This is a repository for submitted contents of Qiita.

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

Authors' implementation of DeepSpeech Distances.

An introduction to implementing a number of scikit-learn classifiers, along with some data exploration

Online-Recurrent-Extreme-Learning-Machine (OR-ELM) for time-series prediction, implemented in python

All Kaggle competitions

Markdown version of Reverse Engineering the source code of the BioNTech/Pfizer SARS-CoV-2 Vaccine

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

Converting a pretrained pytorch model to tensorflow

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

People removal in images using Pix2Pix and YOLO.

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

Advanced Data Structures Implementation

Some research experiments

Text Generation Using A Variational Autoencoder

Deep Learning Specialization by Andrew Ng on Coursera.

Deep Learning with PyTorch Quick Start Guide, published by Packt

Code, documentation, and discussion around the MIMIC-CXR database

使用 tensorflow eager execution 的机器学习全新教程

PyTorch implementation of residual gated graph ConvNets, ICLR’18

Machine learning and process automation

a public domain dataset of EEG recordings for music imagery information retrieval

Graph Convolutional Networks (GCN) with BERT for Coreference Resolution Task [Pytorch][DGL]

Code for computing interpolating / approximating thin plate splines.

bash script to install Artifical Images materials

Visualize 3DPeople Dataset

Notebooks para comenzar desde cero en data science (en español)

A repository for sharing knowledge on Panel by HoloViz in order to build awesome analytics apps in Python

Keep your skills sharp by implementing basic algorithms and data structures

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

GCP Essentials for Bioinformatics Researchers

Reconstruction of three-dimensional porous media using generative adversarial neural networks

Lab files for Azure Machine Learning exercises