WebGL2 powered visualization framework

Bridging LLM and Recommender System.

An open source collection of animated, interactive & fully customizable React components for building memorable websites.

The simplest, fastest repository for training/finetuning medium-sized GPTs.

📚 The definitive guide to TypeScript and possibly the best TypeScript book 📖. Free and Open Source 🌹

A lightweight, powerful framework for multi-agent workflows

A programming framework for agentic AI

18 Lessons to Get Started Building AI Agents

LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and…

A very simple framework for state-of-the-art Natural Language Processing (NLP)

🛁 Clean Code concepts adapted for JavaScript - 한글 번역판 🇰🇷

👶🏻 신입 개발자 전공 지식 & 기술 면접 백과사전 📖

Measures of distance between two probability density functions

이미지 수집부터 분류 모델 구축까지 A to Z를 경험함.

트라우마 초기 진단을 위한 음성 기반 감정 분류

A multimodal approach on emotion recognition using audio and text.

This is the official implementation of 2023 ICCV paper "EmoSet: A large-scale visual emotion dataset with rich attributes".

Understanding emotions from audio files using neural networks and multiple datasets.

Implementation of "Joint Image Emotion Classification and Distribution Learning via Deep Convolutional Neural Network"

Code for the paper: It is Okay to Not Be Okay: Overcoming Emotional Bias in Affective Image Captioning by Contrastive Data Collection

A dataset of visual sentiment evoked by art images.

Official implementation for the paper Exploring Wav2vec 2.0 fine-tuning for improved speech emotion recognition

Wav2Vec for speech recognition, classification, and audio classification

A testing repo to share code and thoughts on diarisation

How to use our public wav2vec2 dimensional emotion model

Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras

Lightweight and Interpretable ML Model for Speech Emotion Recognition and Ambiguity Resolution (trained on IEMOCAP dataset)