deep-learning

OFASys: A Multi-Modal Multi-Task Learning System for Building Generalist Models

A framework for fine-tuning retrieval-augmented generation (RAG) systems.

transformers go brrr...

Easiest way of fine-tuning HuggingFace video classification models

BERT classification model for processing texts longer than 512 tokens. Text is first divided into smaller chunks and after feeding them to BERT, intermediate results are pooled. The implementation allows fine-tuning.

Implementation of Toolformer: Language Models Can Teach Themselves to Use Tools

<트랜스포머를 활용한 자연어 처리> 예제 코드를 위한 저장소입니다.

Seed, Code, Harvest: Grow Your Own App with Tree of Thoughts!

303 份 AI/LLM 中文讲义，支持在线阅读、PDF 下载和 LaTeX 源码查看 | Stanford CS336/CS224R/CS25 | Berkeley LLM Agents | Agent 工程实践

🤖 Building AI Agent Systems from Scratch — A comprehensive, practical tutorial from fundamentals to production-grade multi-agent applications

A convenient way to link, deduplicate, aggregate and cluster data(frames) in Python using deep learning

[CVPR'22] HyperTransformer: A Textural and Spectral Feature Fusion Transformer for Pansharpening

Spokestack is a library that allows a user to easily incorporate a voice interface into any Python application with a focus on embedded systems.

TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series, from ServiceNow Research

Mongolian speech recognition with PyTorch

[CVPR'24 Spotlight] The official implementation of "State Space Models for Event Cameras"

An repository containing all the LLM notebooks with tutorial and projects

Implementation of Diffusion Policy, Toyota Research's supposed breakthrough in leveraging DDPMs for learning policies for real-world Robotics

Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep learning and deep transfer learning to learn and solve popular tasks using NLP including NER, Classification, Recommendation \ Information Retrieval, Summarization, Classification, Language Translation, Q&A and Topic Models.

[ICLR'26, NAACL'25 Demo] Toolkit & Benchmark for evaluating the trustworthiness of generative foundation models.