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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.

deep-learning-deliberate-practice

Deliberate Practice for Learning Deep Learning

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

deeprec

Implementation of Deep Learning based Recommender Algorithms with Tensorflow.

einops

Deep learning operations reinvented (supports tf, pytorch, chainer, gluon and others)

fast_rgf

Multi-core implementation of Regularized Greedy Forest

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.

hiking

Hiking: A crawler with Python

keystone

Simplifying robust end-to-end machine learning on Apache Spark.

kmeansimagecolorreduction

Using Maching Learning KMeans Algorithm to reduce image colors and compress

libffm

A Library for Field-aware Factorization Machines

libfm

Library for factorization machines

lifetimes

Lifetime value in Python

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.

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.

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...).

ml-notes

mlapp-solutions

Solutions in Python for Kevin Murphy's Machine Learning: a Probabilistic Perspective

oscon-2015

Code for my OSCON 2015 talk

predicting_customer_lifetime_value-using-pareto-nbd-model

prettymapp

🖼️ Create beautiful maps from OpenStreetMap data in a streamlit webapp