6521 Open source projects that are alternatives of or similar to Tensorflow Dataset Tutorial

📈 如何用深度强化学习自动炒股

开源的各大比赛baseline

Run your code in the cloud, with technology so advanced, it feels like magic!

The Cutest Deep Learning Framework which is also a wonderful Declarative Language

This is the Code for "Deep Q Learning - The Math of Intelligence #9" By Siraj Raval on Youtube

Jupyter notebook server extension to proxy web services.

image processing codes to understand algorithm

Label line using matplotlib.

A minimal implementaion (less than 150 lines of code with visualization) of DCGAN/WGAN in PyTorch with jupyter notebooks

ASAP: Prioritizing Attention via Time Series Smoothing

Introduction to Statistical Modeling with Python (PyCon 2017)

Tutorial and Examples Jupyter Notebooks for Altair

visualization of CNN in PyTorch

DEPRECATED 尝试使用中文文本训练RNN来产生中文小说。（No longer under maintanance.）

Pytorch Implementation of Perceptual Losses for Real-Time Style Transfer and Super-Resolution

Multi dimensional LSTM as described in Alex Graves' Paper https://arxiv.org/pdf/0705.2011.pdf

Here lies all the exercises I implement and share in my website

Chapterwise code available in the book

a bot that generates realistic replies using a combination of pretrained GPT-2 and BERT models

Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

COMS W4995 Applied Machine Learning - Spring 18

Implementations of some popular Saliency Maps in Keras

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

Repositório do Deep Learning Book - www.deeplearningbook.com.br

Example for end-to-end machine learning on Kubernetes using Kubeflow and Seldon Core

代码记录

I used Machine Learning to make a Logistic Regression model using scikit-learn, pandas, numpy, seaborn and matplotlib to predict the results of FIFA 2018 World Cup.

An awesome semantic segmentation model that runs in real time

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

Reading notes on the excellent "Designing Data-Intensive Applications"

SphereFace+ Implementation for <Learning towards Minimum Hyperspherical Energy> in NIPS'18.

使用两种方法（抽取式Textrank和概要式seq2seq）自动提取文本摘要

To make it easy to benchmark AI accelerators

Fundamentals of Spark with Python (using PySpark), code examples

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

Code for Java Deep Learning Cookbook

📚 专门为自然语言处理(NLP)面试准备的学习笔记与资料

All the ML algorithms, ML models are coded from scratch by pure Python/Numpy with the Math under the hood. It works well on CPU.

Projects done in the Data Engineering Nanodegree by Udacity.com

2018达观杯长文本分类智能处理挑战赛 18解决方案

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

Examples of using Raster Vision on open datasets

A New, Interactive Approach to Learning Python

Unofficial Implementation of RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series (AAAI 2019)

Notebooks for upcoming fastai book (draft / incomplete)

HandySpark - bringing pandas-like capabilities to Spark dataframes

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

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...）

[DEPRECATED] 🔊️ Audio with fastaiv1

Mastering Python for Finance – Second Edition, published by Packt

Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)

Second edition of Springer Book Python for Probability, Statistics, and Machine Learning

Various math-related things in Python code

Main code for Parcels (Probably A Really Computationally Efficient Lagrangian Simulator)

Links to Russian corpora + Python functions for loading and parsing