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adventures-in-ml-code

This repository holds all the code for the site http://www.adventuresinmachinelearning.com

aes-decoder

atec

awesome_llms_interview_notes

LLMs interview notes and answers:该仓库主要记录大模型（LLMs）算法工程师相关的面试题和参考答案

buildpack-deps

chinese-bert-wwm

Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）

chinese-llama-2

chinesenlpcorpus

搜集、整理、发布 中文 自然语言处理 语料/数据集，与 有志之士 共同 促进 中文 自然语言处理 的 发展。

coursera-ml-py

Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

courseraml

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!

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

dataminingalgorithm

数据挖掘18大算法实现以及其他相关经典DM算法

datascience

deeplearning.ai-natural-language-processing-specialization

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

docker-stacks

Ready-to-run Docker images containing Jupyter applications

engineering-python

fe4ml-zh

:book: [译] 面向机器学习的特征工程

gpt2-newstitle

Chinese NewsTitle Generation Project by GPT2.带有超级详细注释的中文GPT2新闻标题生成项目。

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

jcdecaux

Apply for Data Scientist internship at JCDecaux

jina

An easier way to build neural search in the cloud

layzee

ldatopicmodelling

In this notebook i will be demonstarting Latent Dirchlet Allocation(LDA) for topic modelling. I will be using the Amazon fine food reviews dataset from Kaggle(https://www.kaggle.com/snap/amazon-fine-food-reviews) for performing LDA based topic modelling I will be using the gensim package for LDA topic modelling and pyLDAvis for visualization of LDA topic model

learncpp

learnjava

learnsql

learnsymfony

minesweeper

minesweepersp