MahtabSarvmaili

MahtabSarvmaili's Stars

• kairanzhao/RUM

  [NeurIPS24] "What makes unlearning hard and what to do about it" [NeurIPS24] "Scalability of memorization-based machine unlearning"

  Language:Python7

• Arize-ai/phoenix

  AI Observability & Evaluation

  Language:Jupyter Notebook4.4k323

• openai/openai-cookbook

  Examples and guides for using the OpenAI API

  Language:MDX60.9k9.7k

• shiliu-egg/ICML2024_COFT

  Language:Python111

• facebookresearch/KILT

  Library for Knowledge Intensive Language Tasks

  Language:Python92191

• INK-USC/MHGRN

  Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering (EMNLP 2020)

  Language:Python25146

• langchain-ai/rag-from-scratch

  Language:Jupyter Notebook3k911

• zjukg/KG-LLM-Papers

  [Paper List] Papers integrating knowledge graphs (KGs) and large language models (LLMs)

  1.6k122

• coree/awesome-rag

  A curated list of retrieval-augmented generation (RAG) in large language models

  14015

• TheAlgorithms/Python

  All Algorithms implemented in Python

  Language:Python196k46k

• open-thought/system-2-research

  System 2 Reasoning Link Collection

  71057

• suzgunmirac/BIG-Bench-Hard

  Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them

  44529

• zepingyu0512/awesome-llm-understanding-mechanism

  awesome papers in LLM interpretability

  35511

• JShollaj/awesome-llm-interpretability

  A curated list of Large Language Model (LLM) Interpretability resources.

  1.2k95

• tamlhp/awesome-machine-unlearning

  Awesome Machine Unlearning (A Survey of Machine Unlearning)

  Language:Jupyter Notebook76055

• rasbt/LLMs-from-scratch

  Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

  Language:Jupyter Notebook36.3k4.6k

• gpu-mode/resource-stream

  GPU programming related news and material links

  1.3k77

• shap/shap

  A game theoretic approach to explain the output of any machine learning model.

  Language:Jupyter Notebook23.1k3.3k

• MahtabSarvmaili/gcn_contrastive_explanation

  Language:Python2

• ngmarchant/attack-unlearning

  Language:Python8

• Jimmy-di/camouflage-poisoning

  Camouflage poisoning via machine unlearning

  Language:Jupyter Notebook16

• MatthewAlexanderFisher/SteinTorch

  PyTorch implementation of various Stein methods

  Language:Python11

• arogozhnikov/einops

  Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

  Language:Python8.6k355

• OPTML-Group/Unlearn-Sparse

  [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gaowen Liu, Yang Liu, Pranay Sharma, Sijia Liu

  Language:Python657

• wilson-ye-chen/stein_points

  Language:Matlab31

• facebookresearch/certified-removal

  Certified Removal from Machine Learning Models

  Language:Python638

• joonspk-research/generative_agents

  Generative Agents: Interactive Simulacra of Human Behavior

  18k2.3k

• wenkaixl/npksd

  Non-Parametric Kernel Stein Discrepancies (NP-KSD) for implicit model assessment

  Language:Python3

• AdityaGolatkar/SelectiveForgetting

  Language:Jupyter Notebook549

• jswu18/distribution-discrepancies

  Maximum Mean Discrepancy (MMD), Kernel Stein Discrepancy (KSD), and Fisher Divergence

  Language:Jupyter Notebook122