Stars
Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, calibration, etc
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
PyTorch implementation of SNGP as found in https://arxiv.org/pdf/2006.10108.pdf
Multimodal Sarcasm Detection Dataset
OpenChat: Advancing Open-source Language Models with Imperfect Data
VMamba: Visual State Space Models,code is based on mamba
This is the Github repository for SemEval-2018 Task 3
💫 Industrial-strength Natural Language Processing (NLP) in Python
[TMLR 2024] Efficient Large Language Models: A Survey
[IEEE BigData 2022, 5th Workshop on Big Data for CyberSecurity (BigCyber-2022)] Dark patterns in e-commerce: a dataset and its baseline evaluations
DevOps Roadmap for 2024. with learning resources
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RN…
Huggingface compatible implementation of RetNet (Retentive Networks, https://arxiv.org/pdf/2307.08621.pdf) including parallel, recurrent, and chunkwise forward.
Code and data belonging to our CSCW 2019 paper: "Dark Patterns at Scale: Findings from a Crawl of 11K Shopping Websites".
This repository contains all resources from the paper "Introducing MBIB - the first Media Bias Identification Benchmark Task and Dataset Collection".
Fast and Easy Infinite Neural Networks in Python
"Probabilistic Machine Learning" - a book series by Kevin Murphy
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Pytorch implementation of convolutional neural network visualization techniques
A Python library for visualizing convolutional neural networks.
Aligning AI With Shared Human Values (ICLR 2021)
A python library for user-friendly forecasting and anomaly detection on time series.