Pinned Repositories
annoy
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
Awesome-LLM
Awesome-LLM: a curated list of Large Language Model
awesome-papers
机器学习，深度学习，自然语言处理，计算机视觉方面的顶级期刊会议论文集
awesome-RecSys
A curated list of awesome Recommender System (Books, Conferences, Researchers, Papers, Github Repositories, Useful Sites, Youtube Videos)
beginners-pytorch-deep-learning
Repository for scripts and notebooks from the book: Beginner’s Guide to Using PyTorchfor Deep Learning
bitstarter
This is a barebones Node.js app using the Express framework.
chatbot-retrieval
Dual LSTM Encoder for Dialog Response Generation
cnnimageretrieval-pytorch
CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch
competitive-data-science-1
How to Win a Data Science Competition: Learn from Top Kagglers
customer-lifetime-prediction-using-python
How you measure the value of your customers? CLV or LTV is a metric that helps you measure the customer's lifetime value to a business. In this kernel, I am sharing the customer lifetime value prediction using BG-NBD, Pareto, NBD & Gamma Model on top of RFM in Python.
david-liu's Repositories
david-liu/annoy
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
david-liu/Awesome-LLM
Awesome-LLM: a curated list of Large Language Model
david-liu/awesome-papers
机器学习，深度学习，自然语言处理，计算机视觉方面的顶级期刊会议论文集
david-liu/awesome-RecSys
A curated list of awesome Recommender System (Books, Conferences, Researchers, Papers, Github Repositories, Useful Sites, Youtube Videos)
david-liu/beginners-pytorch-deep-learning
Repository for scripts and notebooks from the book: Beginner’s Guide to Using PyTorchfor Deep Learning
david-liu/cnnimageretrieval-pytorch
CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch
david-liu/customer-lifetime-prediction-using-python
How you measure the value of your customers? CLV or LTV is a metric that helps you measure the customer's lifetime value to a business. In this kernel, I am sharing the customer lifetime value prediction using BG-NBD, Pareto, NBD & Gamma Model on top of RFM in Python.
david-liu/deep-learning-deliberate-practice
Deliberate Practice for Learning Deep Learning
david-liu/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models.DeepFM,DeepInterestNetwork(DIN),DeepInterestEvolutionNetwork(DIEN),DeepCrossNetwork(DCN),AttentionalFactorizationMachine(AFM),Neural Factorization Machine(NFM),AutoInt
david-liu/DeepRec
Implementation of Deep Learning based Recommender Algorithms with Tensorflow.
david-liu/einops
Deep learning operations reinvented (supports tf, pytorch, chainer, gluon and others)
david-liu/fast_rgf
Multi-core implementation of Regularized Greedy Forest
david-liu/Getting-Things-Done-with-Pytorch
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.
david-liu/libffm
A Library for Field-aware Factorization Machines
david-liu/lifetimes
Lifetime value in Python
david-liu/LightGBM
A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
david-liu/machine-learning-roadmap
A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.
david-liu/ml-docker
An all-in-one Docker image for machine learning. Contains all the popular python machine learning librairies (scikit-learn, xgboost, LightGBM, gensim,Keras, etc...).
david-liu/ml-notes
david-liu/Predicting_customer_lifetime_value-using-pareto-NBD-model
david-liu/prettymapp
🖼️ Create beautiful maps from OpenStreetMap data in a streamlit webapp
david-liu/Pytorch-Project-Template
A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.
david-liu/PyTorchZeroToAll
Simple PyTorch Tutorials Zero to ALL!
david-liu/sammo
A library for prompt engineering and optimization (SAMMO = Structure-aware Multi-Objective Metaprompt Optimization)
david-liu/spark-nlp
State of the Art Natural Language Processing
david-liu/spring-ai
An Application Framework for AI Engineering
david-liu/the-algorithm
Source code for Twitter's Recommendation Algorithm
david-liu/tibetan-boxing
Tibetan grammar boxing tool
david-liu/vega-lite
A concise grammar of interactive graphics, built on Vega.
david-liu/website
Kubeflow's public website