7688 Open source projects that are alternatives of or similar to Sigmoidal_ai

HandySpark - bringing pandas-like capabilities to Spark dataframes

Implementations of some popular Saliency Maps in Keras

📚 Various cheatsheets in PDF

A machine learning experiment

🐳📊🤓Cookiecutter template to launch an awesome dockerized Data Science toolstack (incl. Jupyster, Superset, Postgres, Minio, AirFlow & API Star)

A collection of Jupyter/IPython notebooks

A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci

Daily Dose of Neural Network that Everyone Needs

Numerical & Scientific Computing with Python Tutorial

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

Source material for Python Like You Mean it

This repository contains data and code used to get and clean data from https://github.com/CSSEGISandData/COVID-19 and https://www.worldometers.info/coronavirus/

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

Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker

This is the code for "Simple Blockchain in 5 Minutes" By Siraj Raval on Youtube

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

The art of using t-SNE for single-cell transcriptomics

Introduction to manifold learning - mathematical theory and applied python examples (Multidimensional Scaling, Isomap, Locally Linear Embedding, Spectral Embedding/Laplacian Eigenmaps)

neon tutorials

BERT + Image Captioning

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

Notebooks de análises e projetos de Data Science em Python

GANs in slanted land

Brazilian-Portuguese word list and instructions booklet for Diceware

a Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.

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

Bert-base NLP pipeline for Turkish, Ner, Sentiment Analysis, Question Answering etc.

Maze Applied Reinforcement Learning Framework

Old source for jakevdp.github.io. New source at http://github.com/jakevdp/jakevdp.github.io-source

Python-based spatial data analysis and visualization of the GPS location data from my 2014 summer travels.

Enriching BERT with Knowledge Graph Embedding for Document Classification (PyTorch)

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

Material that I use for a variety of classes and tutorials

Text Generation Using A Variational Autoencoder

Seaborn 学习笔记

Examples for Deep Learning/Feature Store/Spark/Flink/Hive/Kafka jobs and Jupyter notebooks on Hops

PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer

Hands-on Exploratory Data Analysis with Python, published by Packt

Una introduccion al analisis de datos con R y R Studio

📓 A growing collection of Jupyter Notebooks written in Python, OCaml and Julia for science examples, algorithms, visualizations etc

Building classifiers using cancer transcriptomes across 33 different cancer-types

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

Computer Science SCHOOL resources

CAUTION: This is not maintained anymore. Visit https://github.com/chainer-community/chainer-colab-notebook/

A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)

Deep Learning with PyTorch Quick Start Guide, published by Packt

Kaggle Quora Questions Pairs Competition

Pharmaceutical Modeling and Simulation for Nonlinear Mixed Effects (NLME), Quantiative Systems Pharmacology (QsP), Physiologically-Based Pharmacokinetics (PBPK) models mixed with machine learning

Bayesian neural network package

Tianchi medical AI competition [Season 1]: Lung nodules image segmentation of U-Net. U-Net训练基于卷积神经网络的肺结节分割器

A convolutional neural network for graph classification in PyTorch

Deep Learning Specialization by Andrew Ng, deeplearning.ai.

kmeans using PyTorch

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

Xilinx Deep Learning IP

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