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mathematics-for-ml

🧮 A collection of resources to learn mathematics for machine learning

medium-blog

Code files for my medium blog

mildlyoverfitted

Paper implementations from scratch and machine learning tutorials

ml-murphy

Complete solutions for exercises and MATLAB example codes for "Machine Learning: A Probabilistic Perspective" 1/e by K. Murphy

mml-book

Code / solutions for Mathematics for Machine Learning (MML Book)

mml-book-chinese

mml-book-chinese《Mathematics For Machine Learning》机器学习中的数学 中文版

multiobjectiveoptimization

Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"

murphy-machine-learning-a-probabilistic-perspective-errata-and-notes-4th-printing

Murphy's Machine Learning: A Probabilistic Perspective Errata (4th and later printings)

nam

Neural Additive Models (Google Research)

neural-additive-models-pt

PyTorch implementation for Neural Additive Models

neural-network-from-scratch

A Neural Network implemented from scratch (using only numpy) in Python.

neural_additive_models

stand alone Neural Additive Models, forked from google-reasearch for easy import to colab

nlp-knowledge-graph

自然语言处理、知识图谱、对话系统三大技术研究与应用。

nlp-paper

自然语言处理领域下的对话语音领域，整理相关论文（附阅读笔记），复现模型以及数据处理等（代码含TensorFlow和PyTorch两版本）

nlp-pytorch-zh

《Natural Language Processing with PyTorch》中文翻译

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

nlp-with-python

Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more

nlp_tasks

Natural Language Processing Tasks and References

nndl.github.io

《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

notebooks

Python notebooks

numerical-linear-algebra

This course contains the notebooks for the Numerical Linear Algebra elective in USF's MSAN program, summer 2017

numpy-ml

Machine learning, in numpy

nyu-dlsp21

NYU Deep Learning Spring 2021

on-the-generation-and-evaluation-of-synthetic-tabular-data-using-gans

Repository for the results of my master thesis, about the generation and evaluation of synthetic data using GANs

one-python-craftsman

来自一位 Pythonista 的编程经验分享，内容涵盖编码技巧、最佳实践与思维模式等方面。

openai-pdf

Yet, another solution for PDF data extracting: using OpenAI ChatGPT API

pake

🤱🏻 Simply make any web page a desktop application using Rust. 🤱🏻 很简单的用 Rust 打包网页生成很小的桌面 App

paperscraper

A web scraping tool to systematically extract the text of scientific papers and corresponding metadata from university accessible journals.

pdfgpt

PDF GPT allows you to chat with the contents of your PDF file by using GPT capabilities. The only open source solution to turn your pdf files in a chatbot!

performative-prediction