classification

Tencent Pre-training framework in PyTorch & Pre-trained Model Zoo

Toolkit for fine-tuning, ablating and unit-testing open-source LLMs.

Github repo with tutorials to fine tune transformers for diff NLP tasks

MOMENT: A Family of Open Time-series Foundation Models, ICML'24

Multi-Modal learning toolkit based on PaddlePaddle and PyTorch, supporting multiple applications such as multi-modal classification, cross-modal retrieval and image caption.

[CADL'22, ECCVW] Official repository of paper titled "EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications".

Open Source LLM toolkit to build trustworthy LLM applications. TigerArmor (AI safety), TigerRAG (embedding, RAG), TigerTune (fine-tuning)

simpleT5 is built on top of PyTorch-lightning⚡️ and Transformers🤗 that lets you quickly train your T5 models.

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:

Deep-Learning Model Exploration and Development for NLP

PyTorch Implementation of CvT: Introducing Convolutions to Vision Transformers

Build a Large Language Model (From Scratch) book and Finetuned Models

learning materials for PyTorch beginners

Repository for CARTE: Context-Aware Representation of Table Entries

[TPAMI 2023] Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification

autoupdate paper list

Easiest way of fine-tuning HuggingFace video classification models

Code associated with the "Data Augmentation using Pre-trained Transformer Models" paper

Deploy transformers serverless on AWS Lambda

MedViTV2: Medical Image Classification with KAN-Integrated Transformers and Dilated Neighborhood Attention (Applied Soft Computing 2025)