transformers

Code for the paper "Aligning LLM Agents by Learning Latent Preference from User Edits".

Google QUEST Q&A Labeling Kaggle Competition 6th Place Solution

APDTFlow is a modern and extensible forecasting framework for time series data that leverages advanced techniques including neural ordinary differential equations (Neural ODEs), transformer-based components, and probabilistic modeling. Its modular design allows researchers and practitioners to experiment with multiple forecasting models and easily

An implementation of Conformer: Convolution-augmented Transformer for Speech Recognition, a Transformer Variant in TensorFlow/Keras

Framework to evaluate Trajectory Classification Algorithms

An ASR (Automatic Speech Recognition) adversarial attack repository.

Interactive notes (Jupyter Notebooks) for building AI-powered applications

Transformer & CNN Image Captioning model in PyTorch.

🤹 MultiTRON: Pareto Front Approximation for Multi-Objective Session-Based Recommender Systems, accepted at ACM RecSys 2024.

Code for evaluating uncertainty estimation methods for Transformer-based architectures in natural language understanding tasks.

Designing and Deploying LLM Pipelines

基于PaddleNLP开源的抽取式UIE进行医学命名实体识别（torch实现）

[EMNLP 2022] Continual Training of Language Models for Few-Shot Learning

Implementation of Z-BERT-A: a zero-shot pipeline for unknown intent detection.

[ICCV 2023] Group DETR: Fast DETR Training with Group-Wise One-to-Many Assignment

reference pytorch code for intent classification

Go implementation of today's most used tokenizers

AI-powered semantic search engine for emojis in 50+ languages, developed in Python

First open-source TurboQuant KV cache compression for LLM inference. Drop-in for HuggingFace. pip install turboquant.

Develop DL models using Pytorch and Hugging Face