Energy-Consumption-NavGreen

Flops counter for convolutional 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

A curated list of foundation models for vision and language tasks

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

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

? [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.

How to use our public wav2vec2 dimensional emotion model

FlashAttention (Metal Port)

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

Efficient Inference of Transformer models