mguo001
AI & ML Scientist - Generative AI, NLP, Personalization/Recommendations, and Foundation Models.
Pinned Repositories
Artificial-Intelligence-and-Machine-Learning
Algorithm implementations and homework solutions for the Stanford's online courses
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
BuildingMachineLearningSystemsWithPython
Source Code for the book Building Machine Learning Systems with Python
Data-Science-Intensive
A 12 weeks of instensive data science training program for becoming a data scientist
Deep-Learning-for-Recommendation-Systems
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
Deep_Learning_Summer_School
Deep learning summer school site for machine learners
DeepNLP-models-Pytorch
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
Energy_Power_Forecasting_Project
This project is to build and train ML/DL models for energy power demand forecasting
NLP_Sentiment_Analysis_Project
Classifying movie reviews for sentiment analysis using Nature Language Processing and Out-of-core Learning
Pandas_Numpy_Tutorial
Comprehensive Tutorial for Pandas and Numpy
mguo001's Repositories
mguo001/Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
mguo001/AutoGL
An autoML framework & toolkit for machine learning on graphs.
mguo001/bert
TensorFlow code and pre-trained models for BERT
mguo001/build-nanogpt
Video+code lecture on building nanoGPT from scratch
mguo001/decision-theory-www-2021
Materials for the "Recommender Systems through the lens of Decision Theory" tutorial delivered at the 30th Web Conference (WWW '21).
mguo001/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
mguo001/fastText
Library for fast text representation and classification.
mguo001/federated
A framework for implementing federated learning
mguo001/GFMPapers
Must-read papers on graph foundation models (GFMs)
mguo001/GNNPapers
Must-read papers on graph neural networks (GNN)
mguo001/gpt-2
Code for the paper "Language Models are Unsupervised Multitask Learners"
mguo001/graphml-tutorials
Tutorials for Machine Learning on Graphs
mguo001/grok-1
Grok open release
mguo001/Hands-On-Graph-Neural-Networks-Using-Python
Hands-On Graph Neural Networks Using Python, published by Packt
mguo001/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.
mguo001/KG-LLM-Papers
[Paper List] Papers integrating knowledge graphs (KGs) and large language models (LLMs)
mguo001/Large-Language-Models-LLMs-Course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
mguo001/llama3
The official Meta Llama 3 GitHub site
mguo001/nn4nlp-code
Code Samples from Neural Networks for NLP
mguo001/OpenGraph
"OpenGraph: Towards Open Graph Foundation Models"
mguo001/private-ai
Repo for Udacity's Secure & Private AI course
mguo001/pure-bash-bible
📖 A collection of pure bash alternatives to external processes.
mguo001/PySyft
A library for encrypted, privacy preserving deep learning
mguo001/pytext
A natural language modeling framework based on PyTorch
mguo001/pytorch_geometric
Graph Neural Network Library for PyTorch
mguo001/ranking
Learning to Rank in TensorFlow
mguo001/StarSpace
Learning embeddings for classification, retrieval and ranking.
mguo001/statsmodels
Statsmodels: statistical modeling and econometrics in Python
mguo001/transformers
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
mguo001/xlnet
XLNet: Generalized Autoregressive Pretraining for Language Understanding