All Algorithms implemented in Python

Models and examples built with TensorFlow

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

Graph Neural Network Library for PyTorch

Topic Modelling for Humans

A list of all named GANs!

Python Implementation of Reinforcement Learning: An Introduction

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

all kinds of text classification models and more with deep learning

Open Source Neural Machine Translation and (Large) Language Models in PyTorch

Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

TensorFlow Neural Machine Translation Tutorial

Deep Reinforcement Learning for Keras.

AppAgent: Multimodal Agents as Smartphone Users, an LLM-based multimodal agent framework designed to operate smartphone apps.

Web interface for browsing, search and filtering recent arxiv submissions

Papers on Computational Advertising

Fast Python Collaborative Filtering for Implicit Feedback Datasets

Representation learning on large graphs using stochastic graph convolutions.

Sequence to Sequence Learning with Keras

Keras Attention Layer (Luong and Bahdanau scores).

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

A curated list of community detection research papers with implementations.

A curated list of pretrained sentence and word embedding models

Tensorflow implementation of DeepFM for CTR prediction.

Compare GAN code.

An Open-Source Package for Network Embedding (NE)

Implementation of Graph Auto-Encoders in TensorFlow

QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)