5921 Open source projects that are alternatives of or similar to Book

Explains nlp building blocks in a simple manner.

Applying Data Science and Machine Learning to Solve Real World Business Problems

An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/.

Code To Accompany YouTube Series Imaginary Numbers Are Real

Contains files related to content and project of DSND

Surrogate Modeling Toolbox

Structured Inference Networks for Nonlinear State Space Models

Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

Simple Encoder, Generator and Face Modificator with StyleGAN2

A benchmark dataset for data-driven weather forecasting

my blog

Documenting my python implementation of Andrew Ng's Machine Learning course

我的强化学习笔记和学习材料📖 still updating ... ...

STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Beaker Extensions for Jupyter Notebook

Python library for reading and writing well data using Log ASCII Standard (LAS) files

Movie plots by genre tutorial at PyData Berlin 2016

A collection of resources for pandas (Python) and related subjects.

This is the code for "Predicting the Winning Team with Machine Learning" by Siraj Raval on Youtube

declarative and reproducible Jupyter environments - powered by Nix

Generating multiple choice questions from text using Machine Learning.

Approximating Wasserstein distances with PyTorch

Python is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python's design philosophy emphasizes code readability with its notable use of significant white space. (This repository contains Python 3 Code)

List of tech resources future me and other Javascript/Ruby/Python/Elixir/Elm developers might find useful

Installations for Data Science. Anaconda, RStudio, Spark, TensorFlow, AWS (Amazon Web Services).

Code repository for Learning PySpark by Packt

My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection

Beautiful charting of pandas.DataFrame with Highcharts

Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?

A knowledge graph and a set of tools for drug repurposing

Code for our paper "Hamiltonian Neural Networks"

source{d} datasets ("big code") for source code analysis and machine learning on source code

python automatic data quality check toolkit

Python version of Quantiacs toolbox and sample trading strategies

TensorFlow Tutorials

Deep fusion project of deeply-fused nets, and the study on the connection to ensembling

Examples of using deep learning in Bioinformatics

Code and examples for JHU Computational Genomics class

Code and Examples for Relevant Search

Detect text in natural images with SSD, Single Shot Detection

Python 入门爬虫和数据分析实战

Transfer learning for music classification and regression tasks

MAttNet: Modular Attention Network for Referring Expression Comprehension

Food detection and recommendation with deep learning

pyschedule - resource scheduling in python

Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshops

add statistical annotations (pvalue significance) on an existing boxplot generated by seaborn boxplot

Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.

Convert existing soccer event stream data to SPADL and value player actions

Implementation of Statistical Learning Method, Second Edition.《统计学习方法》第二版，算法实现。

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

2018-JDDC大赛第4名的解决方案

This repository contains my python (3) script examples that focus on use cases for Network Engineers.

PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks

朱小五写文章涉及到的数据分析，爬虫，源数据