pytorch

Code for "Dual-Level Adaptive Incongruity-Enhanced Model for Multimodal Sarcasm Detection".

Train linear embedding adapters with triplet loss to align retrieval embeddings with your queries (RAG).

Fine-tuning an LLM using a Generic Workflow and Best Practices with PyTorch

BERT Fine-tuning for Aspect Based Sentiment Analysis

Learning PyTorch through the D2L book. A series of notebooks for the same

多模态情绪识别方法研究（Multimodal Emotion Recognition）

WeldFusionNet: Multimodal deep learning for automated weld defect classification using sensor, audio, and video data (F1: 0.9567)

Web Scraping, Document Deduplication & GPT-2 Fine-tuning with a newly created scam dataset.

A compiler that transforms computation graphs into the weights of a transformer

A set of jupyter notebooks

A regularized self-labeling approach to improve the generalization and robustness of fine-tuned models

VAAS is an inference-first, research-driven library for image integrity analysis. It integrates Vision Transformer Attention Mechanisms with patch-level self-consistency analysis to enable fine-grained localization and detection of visual inconsistencies across diverse image analysis tasks.

Ultra-Intelligent AI-in-one Application Platform | 至数云-超轻量智能应用平台/智能平台

Generate README.md with GPT-3 few-shot learning

Code for paper "Semantic Diversity-aware Prototype-based Learning for Unbiased Scene Graph Generation (ECCV 2024)"

META LLAMA3 GENAI Real World UseCases End To End Implementation Guide

Building an Image-to-Video (I2V) Model from Scratch

[ACL-IJCNLP 2021] Self-Supervised Multimodal Opinion Summarization

AESTETIK: Convolutional autoencoder for learning spot representations from spatial transcriptomics and morphology data

Taiwanese Hokkien (Taigi) speech-to-text transcriber - MediaTek Breeze-ASR-26 with faster-whisper, tuned for RTX 3050 4GB low-VRAM GPUs. Gradio UI, CLI, Docker, SRT/VTT/TXT/JSON.