The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework. Website: https://swarms.ai

Flops counter for neural networks in pytorch framework

[NeurIPS‘2021] "TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up", Yifan Jiang, Shiyu Chang, Zhangyang Wang

solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning

LLM notes, including model inference, transformer model structure, and llm framework code analysis notes.

Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)

[VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.

💭 Aspect-Based-Sentiment-Analysis: Transformer & Explainable ML (TensorFlow)

🌕 [BMVC 2022] You Only Need 90K Parameters to Adapt Light: A Light Weight Transformer for Image Enhancement and Exposure Correction. SOTA for low light enhancement, 0.004 seconds try this for pre-processing.

Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.

The official code repo of "HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection"

MinT: Minimal Transformer Library and Tutorials

Punctuation Restoration using Transformer Models for High-and Low-Resource Languages

The official code repo for "Zero-shot Audio Source Separation through Query-based Learning from Weakly-labeled Data", in AAAI 2022

GRIT: Faster and Better Image-captioning Transformer (ECCV 2022)

Tk-Instruct is a Transformer model that is tuned to solve many NLP tasks by following instructions.

Interpret text data using LLMs (scikit-learn compatible).

ShadowFormer (AAAI2023), Pytorch implementation

Official implementation of the CVPR 2024 paper "FSRT: Facial Scene Representation Transformer for Face Reenactment from Factorized Appearance, Head-pose, and Facial Expression Features"

My implementation of "Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models"