6673 Open source projects that are alternatives of or similar to Crnn Pytorch

bayesian graphical modelling and a bit of do-calculus for discrete data.

A collection of Machine Learning Google_Colab_Notebooks

University of Michigan on Coursera

A repo of sample data for our PyData Tutorial!

Anatomy of Matplotlib -- tutorial developed for the SciPy conference

PyMC3 educational resources

Forecasting Uber demand in NYC neighborhoods

My kaggle competition solution and notebook

This is a tutorial on training a network to detect buildings with the SpaceNet data.

A julia package for Gradient Descent and Stochastic Gradient Descent

Python 2.7 package with examples for evaluating a network's ability to group a given node set in network proximity.

支付宝 AR 红包 破解教程

Aspect-Based Sentiment Analysis

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

Easy Twitter threads with Python

A collection of tutorials, demos, and use cases for IBM Data Science Experience http://datascience.ibm.com/

RCS Intro to Databases workshop materials

This is the code for "How Do We Democratize Access to Data?" by Siraj Raval on Youtube

Presentation and code from Cryptocurrency Technical Trading strategy meeting. Dec 7th 2017

Simple datasets and notebooks for data visualization, statistical analysis and modelling - with write-ups here: http://projectosyo.wix.com/datadoubleconfirm.

ECON 5253: Data Science for Economists, University of Oklahoma (Spring 2019)

Sentimental analysis using keras in python

Time Series Anomaly Detection Toolkit

Pruning and other network surgery for trained TF.Keras models.

Painless conjugate gradient notebooks

A collection of Jupyter notebook workings

Implementation of various generative models

Aprenda a Programar

Stock price trend analysis using Fourier transform

Repositório do Curso Online Python Fundamentos Para Análise de Dados.

Columbia Advanced Machine Learning Seminar

privacy

Pythonエンジニア ファーストブックのサンプルコード

Chatbot based on Rasa Framework

Bayes Impact's Encompass Tool for Visualizing and Analyzing Geographic Access

How to do data science with Optimus, Spark and Python.

Demo of PySpark and Jupyter Notebook with the Jupyter Docker Stacks

AI SDTM mapping (R for ML, Python, TensorFlow for DL)

backtrader with DRL ( Deep Reinforcement Learning)

Interview = 简历指南 + LeetCode + Kaggle

code to reproduce the empirical results in the research paper

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

For cell segmentation and tracking.

Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"

Data Science for Materials Science

STAT406 @ UBC - "Elements of Statistical Learning"

Learn Python for free using open-source notebooks in Hebrew.

Covid-on-the-Web Dataset

The book was written and tested with Python 3.5, though other Python versions (including Python 2.7) should work in nearly all cases.

Topic and material (if available) of the talks