JaredChung

interpret

Fit interpretable models. Explain blackbox machine learning.

PDPbox

python partial dependence plot toolbox

langgraph

Build resilient language agents as graphs.

chainlit

Build Conversational AI in minutes ⚡️

awesome-project-ideas

Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

llmfarm_core.swift

Swift library to work with llama and other large language models.

openchat

OpenChat: Advancing Open-source Language Models with Imperfect Data

mlc-llm

Universal LLM Deployment Engine with ML Compilation

text-generation-webui

A Gradio web UI for Large Language Models.

dolly

Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform

baize-chatbot

Let ChatGPT teach your own chatbot in hours with a single GPU!

open_clip

An open source implementation of CLIP.

FastChat

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

OpenChatKit

SuperGluePretrainedNetwork

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

LoFTR

Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021, T-PAMI 2022

models

Models and examples built with TensorFlow

io

Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO

cookiecutter-docker-science

Cookiecutter template for data scientists working with Docker containers

recommenders-addons

Additional utils and helpers to extend TensorFlow when build recommendation systems, contributed and maintained by SIG Recommenders.

recommenders

TensorFlow Recommenders is a library for building recommender system models using TensorFlow.

KBE4ExplainableRecommendation

Code for Paper: CFKG: Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation (KBE4ER)

spotlight

Deep recommender models using PyTorch.

brute_knn_benchmarks

Performance measurements on brute-force k-NN implementations on GPU and CPU

onn

Online Deep Learning: Learning Deep Neural Networks on the Fly / Non-linear Contextual Bandit Algorithm (ONN_THS)

Multi-armed-Bandits

In this notebook several classes of multi-armed bandits are implemented. This includes epsilon greedy, UCB, Linear UCB (Contextual bandits) and Kernel UCB. Some of the well cited papers in this context are also implemented.

mabwiser

[IJAIT 2021] MABWiser: Contextual Multi-Armed Bandits Library

interactive-intro-rl

Big Data's open seminars: An Interactive Introduction to Reinforcement Learning

carousel_bandits

Source code and data from the RecSys 2020 article "Carousel Personalization in Music Streaming Apps with Contextual Bandits" by W. Bendada, G. Salha and T. Bontempelli

space-bandits