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Code for my blog post on Adversarial Reprogramming
Implementation of CALM from the paper "LLM Augmented LLMs: Expanding Capabilities through Composition", out of Google Deepmind
PyTorch implementation of CARE
Repository for the AAAI 2022 paper "CEM: Commonsense-aware Empathetic Response Generation"
official implementation of "Interpreting CLIP's Image Representation via Text-Based Decomposition"
Parameter Efficient Transfer Learning with Diff Pruning
Reference implementation for DPO (Direct Preference Optimization)
A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.
Micromodels -- A framework for accurate, explainable, data efficient, and reusable NLP models.
This is a repository for sharing papers in the field of empathetic conversational AI. The related source code for each paper is linked if available.
Repository containing codes and dataset access instructions for the EMNLP 2020 paper on empathy in text-based mental health support
[COLING 2020] EmpDG: Multi-resolution Interactive Empathetic Dialogue Generation
Code for "Training Neural Networks with Fixed Sparse Masks" (NeurIPS 2021).
[AAAI 2022] Knowledge Bridging for Empathetic Dialogue Generation
The Low-Dimensional Linear Geometry of Contexutalized Word Representations, CoNLL 2021
This repository contains PyTorch implementations of the models from the paper An Empirical Study MIME: MIMicking Emotions for Empathetic Response Generation.
Modeling, training, eval, and inference code for OLMo
An open source implementation of CLIP.
Emergent world representations: Exploring a sequence model trained on a synthetic task
Code for Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights
Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.
ReFT: Representation Finetuning for Language Models
Q-Probe: A Lightweight Approach to Reward Maximization for Language Models
A modular RL library to fine-tune language models to human preferences
Codes for Skilled Chess Commentator: ACL'19 paper "Automated Chess Commentator Powered by Neural Chess Engine"
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.