Tensors and Dynamic neural networks in Python with strong GPU acceleration

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

A Study Path for Game Programmer

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

Incremental merge for git

Deep Learning Pipelines for Apache Spark

This includes the original implementation of SELF-RAG: Learning to Retrieve, Generate and Critique through self-reflection by Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, and Hannaneh Hajishirzi.

A Unified Semi-Supervised Learning Codebase (NeurIPS'22)

source code to ICLR'19, 'A Closer Look at Few-shot Classification'

Locating and editing factual associations in GPT (NeurIPS 2022)

SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models

A re-implementation of "Prototypical Networks for Few-shot Learning"

Cleaned original source code from my NIPS publication

Code for ACL 2024 paper "TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space"

[NeurIPS 2024] Implementation of "Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification"

Medical Visual Question Answering via Conditional Reasoning [ACM MM 2020]

Code for the paper <SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning>

This is a pytorch implementation of our Recurrent Aggregation of Multimodal Embeddings Network (RAMEN) from our CVPR-2019 paper.

Code and dataset for the paper: "Can Editing LLMs Inject Harm?"

Out-of-Scope Intent Detection

A pytorch implementation of 'Variational Metric Scaling for Metric-based Meta-learning'

Code for the CLOLING paper "A Closer Look at Few-Shot Out-of-Distribution Intent Detection"

Code for the LREC-Coling 2024 paper "VI-OOD: A Unified Representation Learning Framework for Textual Out-of-distribution Detection"