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Stanford NLP Python Library for Understanding and Improving PyTorch Models via Interventions
Training Sparse Autoencoders on Language Models
This repository contains scripts for scraping news from different sources
A module for evaluation of coreference chains (in an array/jsonlike format), using common metrics for coreference resolution
Universal Reddit Scraper - A comprehensive Reddit scraping/archival command-line tool.
maayanorner / gym-risk
Forked from rmcarthur/gym-riskAn OpenAI gym for Risk style board game (Not affiliated with Risk! or Hasbro)
Suite of methods that create attribution maps from image classification models.
fastLLaMa: An experimental high-performance framework for running Decoder-only LLMs with 4-bit quantization in Python using a C/C++ backend.
Official supported Python bindings for llama.cpp + gpt4all
A python list implementation that uses the disk to handle very large collections
PFRL: a PyTorch-based deep reinforcement learning library
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Deep universal probabilistic programming with Python and PyTorch
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…
Contributed Agents for the SCML competition
Code for Cicero, an AI agent that plays the game of Diplomacy with open-domain natural language negotiation.
A research tool for the Iterated Prisoner's Dilemma
Summary of deep learning models for dialog systems (Tiancheng Zhao LTI, CMU)
An algorithm that generalizes the paradigm of self-play reinforcement learning and search to imperfect-information games.
An open-source library of fair division algorithms in Python
Deal or No Deal? End-to-End Learning for Negotiation Dialogues