Steven H. Wang (shwang)

shwang

Geek Repo

Location:Zürich, Switzerland

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Organizations
HumanCompatibleAI
minerllabs
NetSys
wildwaffles

Steven H. Wang's starred repositories

openai-python

The official Python library for the OpenAI API

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FlagEmbedding

Retrieval and Retrieval-augmented LLMs

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openchat

OpenChat: Advancing Open-source Language Models with Imperfect Data

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x-transformers

A simple but complete full-attention transformer with a set of promising experimental features from various papers

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llm

Access large language models from the command-line

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audio-diffusion-pytorch

Audio generation using diffusion models, in PyTorch.

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beir

A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

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video-diffusion-pytorch

Implementation of Video Diffusion Models, Jonathan Ho's new paper extending DDPMs to Video Generation - in Pytorch

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Cold-Diffusion-Models

Official implementation of Cold-Diffusion for different transformations in pytorch.

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representation-engineering

Representation Engineering: A Top-Down Approach to AI Transparency

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surgeon-pytorch

A library to inspect and extract intermediate layers of PyTorch models.

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obsidiantools

Obsidian tools - a Python package for analysing an Obsidian.md vault

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pytrec_eval

pytrec_eval is an Information Retrieval evaluation tool for Python, based on the popular trec_eval.

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ethics

Aligning AI With Shared Human Values (ICLR 2021)

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layout-guidance

[WACV 2024] Training-Free Layout Control with Cross-Attention Guidance

archisound

A collection of pre-trained audio models, in PyTorch.

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pixmix

PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures (CVPR 2022)

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simbiotico

GPT / Human collaboration mindmap tool, using OpenAI ChatGPT API

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ETHz-AML-2020-Notes

My lecture notes for Advance Machine Learning 2020 at ETH Zurich.

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jiminy-cricket

Jiminy Cricket Environment (NeurIPS 2021)

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idrl

Code accompanying the paper "Information Directed Reward Learning for Reinforcement Learning" (NeurIPS 2021).

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QuoteSum

QuoteSum is a textual QA dataset containing Semi-Extractive Multi-source Question Answering (SEMQA) examples written by humans, based on Wikipedia passages.

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german-t5-eval

German T5 Model Evaluation

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VillageDivinatorPlugin

output village coordinates

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