6265 Open source projects that are alternatives of or similar to Tensorflow2 Docs Zh

This Python library makes it easy to display images and videos in a notebook.

A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

Web scrapping and related analytics using Python tools

Predicting house prices using Linear Regression and GBR

Scripts and data for various Vox Media stories and news projects

Notebook for my medium article about how to use Dataset API in TensorFlow

CME211 Notes | Outline ->

Tensorflow implementation of Deepminds dqn with double dueling networks

Stuff I uploaded to share online or to access from a different machine

Based on "Image Quilting for Texture Synthesis and Transfer" and "Real-Time Texture Synthesis by Patch-Based Sampling" papers

An OCaml kernel for Jupyter (IPython) notebook

Transfer Learning Shootout for PyTorch's model zoo (torchvision)

COVID-19 Mobility Data Aggregator. Scraper of Google, Apple, Waze and TomTom COVID-19 Mobility Reports🚶🚘🚉

Analytics and data science business case studies to identify opportunities and inform decisions about products and features. Topics include Markov chains, A/B testing, customer segmentation, and machine learning models (logistic regression, support vector machines, and quadratic discriminant analysis).

Activity Recognition from 2D pose using an LSTM RNN

Python sample codes for robotics algorithms.

2nd Place Solution 💰🥈

机器学习&深度学习资料笔记&基本算法实现&资源整理（ML / CV / NLP / DM...）

An implementation of a sequence to sequence neural network using an encoder-decoder

这个项目是基于论文YOLO9000: Better, Faster, Stronger的keras（backend：tensorflow）实现

TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network

This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation

🕵️‍♂️ Interpreting Convolutional Neural Network (CNN) Results.

Create interactive textual heat maps for Jupiter notebooks

A S3 backed ContentsManager implementation for Jupyter

Python library for identifying the peaks and valleys of a time series.

Powering Amazon custom machine learning chips. Blazing fast and cost effective, natively integrated into PyTorch and TensorFlow and integrated with your favorite AWS services

🍝 Pastas is an open-source Python framework for the analysis of hydrological time series.

A day to day plan for this challenge. Covers both theoritical and practical aspects

I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!

Deformable Style Transfer (ECCV 2020)

NMT for chinese-english using fairseq

Breaking captchas using torch

COMS W4995 Applied Machine Learning - Spring 18

Curso de Datos Abiertos y Hacking Cívico, habilitando las capacidades de la ciudadanía y los servidores públicos en el uso de datos abiertos.

In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.

A drop-in replacement for CIFAR-10.

Links to Russian corpora + Python functions for loading and parsing

Continuous- and Discrete-Time Signals and Systems - Theory and Computational Examples

DataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

Arduino and python code for a mini-radio telescope.

Images and notebook for camera calibration

Functionalities in Excel translated to Python

Materials for the "Advanced Scikit-learn" class in the afternoon

Tencent Social Ads 2017 contest rank 20

Kipoi's model zoo API

Contains Example Programs and Notebooks for some courses at Bogazici University, Department of Computer Engineering

Deep Learning libraries tested on images and time series

An OCaml kernel for the IPython notebook

Code for a convolutional autoencoder written on python, theano, lasagne, nolearn

A visualization tool for understanding and debugging RNNs

Image completion using deep convolutional generative adversarial nets in tensorflow

A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

This repository provides everything you need to get started with Python for (social science) research.