quboanthony Goto Github PK

aigc_learn

This including the materials regards to the AIGC learning, including POCs' codes etc.

aind-nlp

Coding exercises for the Natural Language Processing concentration, part of Udacity's AIND program.

autoencoding_vi_for_topic_models

Tensorflow implementation for prodLDA and NVLDA.

capstone

chadbaldwin.github.io

The repo that drives my blog chadbaldwin.net

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

distracted_drivers

Kaggle projects by State Farm - Classify distract drivers according to pictures

dive_into_deep_learning_notes

Summarized notes and codes produced by reading the book <Dive_into_Deep_learning>

dl_pytorch

Code for the Deep Learning with PyTorch lesson

experiments_with_python

experiments with python

feature-engineering-for-ml-zh

:book: [译] 面向机器学习的特征工程

home-credit-default-risk

Many people struggle to get loans due to insufficient or non-existent credit histories. And, unfortunately, this population is often taken advantage of by untrustworthy lenders. Home Credit Group Home Credit strives to broaden financial inclusion for the unbanked population by providing a positive and safe borrowing experience. In order to make sure this underserved population has a positive loan experience, Home Credit makes use of a variety of alternative data--including telco and transactional information--to predict their clients' repayment abilities. While Home Credit is currently using various statistical and machine learning methods to make these predictions, they're challenging Kagglers to help them unlock the full potential of their data. Doing so will ensure that clients capable of repayment are not rejected and that loans are given with a principal, maturity, and repayment calendar that will empower their clients to be successful.

human-or-robot

Kaggle facebook recruit iv- classification of human or robot bidders on the bidding website.

interview-code-practice-python

面试题

jieba

结巴中文分词

lda

Topic modeling with latent Dirichlet allocation using Gibbs sampling

lectures

Oxford Deep NLP 2017 course

mingpt

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

nlp_notes

plogp.github.io

quboanthony.github.io

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

rl-adventure

Reinforcement Learning Adventure

serpentai

Game Agent Framework. Helping you create AIs / Bots to play any game you own! BETA

slda

Cython implementations of Gibbs sampling for supervised LDA

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

tabnet

PyTorch implementation of TabNet paper

udacity-dlnd-face-generation-with-gans