gearsuccess

causal-ml

Must-read papers and resources related to causal inference and machine (deep) learning

awesome-social-agents

A collection of works that investigate social agents, simulations and their real-world impact in text, embodied, and robotics contexts.

Causal_Reading_Group

We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.

ears2019.github.io

Paperlist-for-Recommender-Systems

Recommender Systems Paperlist that I am interested in

TensorFlow_RLRE

Reinforcement Learning for Relation Classification from Noisy Data(TensorFlow)

VBSAC

a value-based static analyzer for c code bug detection

Awesome-Interpretability-in-Large-Language-Models

This repository collects all relevant resources about interpretability in LLMs

awesome-interpretable-machine-learning

awesome-network-embedding

A curated list of network embedding techniques.

caser_pytorch

A PyTorch implementation of Convolutional Sequence Embedding Recommendation Model (Caser)

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

deep_rl

PyTorch implementations of Deep Reinforcement Learning algorithms (DQN, DDQN, A2C, VPG, TRPO, PPO, DDPG, TD3, SAC, ASAC, TAC, ATAC)

GNNPapers

Must-read papers on graph neural network (GNN)

KBE4ExplainableRecommendation

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

LLM-Optimizers-Papers

Must-read Papers on Large Language Model (LLM) as Optimizers and Automatic Optimization for Prompting LLMs.

machine_unlearning

Existing Literature about Machine Unlearning

nlp-datasets

Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)

NLP-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

PeerRead

Data and code for Kang et al., NAACL 2018's paper titled "A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications"

RecBole

A unified, comprehensive and efficient recommendation library

Reco-papers

Classic papers and resources on recommendation

recsim_ng

RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Reinforcement-learning-1

Modular implementations of reinforcement learning algorithms with PyTorch

RUM-1

siren

SIREN: A Simulation Framework for Understanding the Effects of Recommender Systems in Online News Environments

texar

Toolkit for Text Generation and Beyond

transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习

zhusuan

A Library for Bayesian Deep Learning, Generative Models, Based on Tensorflow