6640 Open source projects that are alternatives of or similar to Riemann_book

The Go kernel for Jupyter notebooks and nteract.

Quantitative Interview Preparation Guide, updated version here ==>

Accurate sums and dot products for Python.

Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"

机器学习深度学习相关书籍、课件、代码的仓库。 Machine learning is the warehouse of books, courseware and codes.

[Book-2019] Pragmatic AI: An Introduction to Cloud-based Machine Learning

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

[Book-2020] Python For DevOps: Learn Ruthlessly Effective Automation

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

Attempting to make the Deep Learning Book easier to understand.

Python implementation of some numerical (optimization) methods

开源Go语言数值算法库(An open numerical library purely based on Go programming language)

📓 A growing collection of Jupyter Notebooks written in Python, OCaml and Julia for science examples, algorithms, visualizations etc

The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可

An introductory course to Homotopy Type Theory

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

A set of notebooks for an introduction to Python for Mathematicians.

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

The fastai book, published as Jupyter Notebooks

CoCalc: Collaborative Calculation in the Cloud

Escrita colaborativa de recursos educacionais abertos sobre cálculo numérico.

Data science and Big Data with Python

Scientific Computing with Pharo

Official Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]

Create publication-quality books from Jupyter notebooks

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

Notebooks for https://python.quantecon.org

Train transformer language models with reinforcement learning.

MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification

A machine learning experiment

Domain Specific Languages of Mathematics

HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).

Go语言101 : 一本侧重于Go语言语法和语义的编程解释和指导书

High performance implementation of Extreme Learning Machines (fast randomized neural networks).

Advanced R: a book

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

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

numsca is numpy for scala

Fifth place solution of the Kaggle Diabetic Retinopathy competition.

Content for architecting a data science platform for products using Luigi, Spark & Flask.

Predicting house prices using Linear Regression and GBR

Code and website related to the eICU Collaborative Research Database

⭐️ PyTorch implement of Deeply Supervised Salient Object Detection with Short Connection

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

Code for "The Face of Art: Landmark Detection and Geometric Style in Portraits"

Adversarial networks in TensorFlow

Tensorflow implementation of Deepminds dqn with double dueling networks

Chinese Poetry Generation

HandySpark - bringing pandas-like capabilities to Spark dataframes

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

A free and reader-friendly book on Zend Framework 3

The source code for "An Actor Critic Algorithm for Structured Prediction"

Learn applied deep learning from zero to deployment using TensorFlow 1.8+

Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html