5921 Open source projects that are alternatives of or similar to Google Colab Cloudtorrent

Accelerated Deep Learning with PyTorch at Jupyter Day Atlanta II

Convert Jupyter notebook to Excel spreadsheet

A collection of DL experiments and notes

Python Vietnamese Core NLP Toolkit

Python port of CausalImpact R library

Predictive Filter Flow for fully/self-supervised learning on various vision tasks

Fit 3DMM to front and side face images simultaneously.

A series of Jupyter Notebooks on exploring Unidata technology with Python. See website for more information.

An easy to use waterfall chart function for Python

This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Faisal and Cheng Ong, written in python for Jupyter Notebook.

Recurrent Neural Networks for Semantic Instance Segmentation

This tutorial playlist covers data structures and algorithms in python. Every tutorial has theory behind data structure or an algorithm, BIG O Complexity analysis and exercises that you can practice on.

Numba tutorial materials for Scipy 2016

Time Series Analysis & Forecasting of Rossmann Sales with Python. EDA, TSA and seasonal decomposition, Forecasting with Prophet and XGboost modeling for regression.

Source codes for the book "Application of Neural Network and PyTorch"

https://cn.udacity.com/mlnd/

UC Berkeley's software and documentation for Breakthrough Listen data

Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020

A Python implementation of Seasonal and Trend decomposition using Loess (STL) for time series data.

user defined colormaps in matplotlib.

Online trading using Artificial Intelligence Machine leaning with basic python on Indian Stock Market, trading using live bots indicator screener and back tester using rest API and websocket 😊

Griffon Data Science Virtual Machine

A repository for public storage of slides given at the 17th Python in Science Conferences (2018)

Official reinforcement learning environment for demand response and load shaping

The course work for the applied machine learning course I am teaching at BYU

Python Feature Engineering Cookbook, published by Packt

Machine Learning Tutorial in IPython Notebooks

Demo of running NNs across different frameworks

This package shows how to train a siamese network using Lasagne and Theano and includes network definitions for state-of-the-art networks including: DeepID, DeepID2, Chopra et. al, and Hani et. al. We also include one pre-trained model using a custom convolutional network.

using CNN to do move prediction and board evaluation for the board game Go

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

Supreme Court prediction project

A PyTorch implementation of OpenAI's REPTILE algorithm

Cloud Dataproc: Samples and Utils

Educational material on using the TensorFlow Estimator framework for text classification

个人深度学习项目整理

This repository contains Deep Learning examples using Tensorflow. This repository will be useful for Deep Learning starters who find difficulty in understanding the example codes.

A series of Jupyter notebook to learn Google Earth Engine with Python

主要存储Datawhale组队学习中“自然语言处理”方向的资料。

A real-time interactive web app based on data pipelines using streaming Twitter data, automated sentiment analysis, and MySQL&PostgreSQL database (Deployed on Heroku)

DEPRECATED - DO NOT USE

Large dataset of hand-object contact, hand- and object-pose, and 2.9 M RGB-D grasp images.

Classical algorithms of sound source localization with beamforming, TDOA and high-resolution spectral estimation.

Content for my Astronomy 599 Course: Intro to scientific computing in Python

InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy

Machine learning with scikit-learn tutorial at PyData Chicago 2016

Generalized linear mixed-effect model in Python

Gumbel-Softmax Variational Autoencoder with Keras

Python script to download the celebA-HQ dataset from google drive

Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.

Loss Landscapes of Regularized Linear Autoencoders

MindSpore document

Mirror of Apache Open Climate Workbench

Detect and recognize The Simpsons characters using Keras and Faster R-CNN

This is the code for the Kaggle Earthquake Challenge by Siraj Raval on Youtube

How to train an object detection model easy for free