Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts

使用预训练语言模型BERT做中文NER

Fine-tune SAM (Segment Anything Model) for computer vision tasks such as semantic segmentation, matting, detection ... in specific scenarios

Scale LLM Engine public repository

使用预训练语言模型ALBERT做中文NER

ImageNet pre-trained models with batch normalization for the Caffe framework

Fine-tuning code for CLIP models

[SOTA] [92% acc] 786M-8k-44L-32H multi-instrumental music transformer with true full MIDI instruments range, efficient encoding, octo-velocity and outro tokens

Vision Transformers Needs Registers. And Gated MLPs. And +20M params. Tiny modality gap ensues!

Use FastSpeech2 and HiFi-GAN to easily perform end-to-end Korean speech synthesis.

TensorFlow Implementation of Manifold Regularized Convolutional Neural Networks.

Sparse Autoencoders (SAE) vs CLIP fine-tuning fun.

🚂 Fine-tune OpenAI models for text classification, question answering, and more

Training and fine-tuning flan-t5-small model based on provided text

Official Implementation for the paper titled: "Counterfactual Disease Removal and Generation in Chest X-Rays Using Diffusion Models"

Fine tuning LLaMA-2 model on provided text data

Mistral model inference and fine-tune

Flan-t5 model fine tune LoRA and Langchain

Run XTTS with Docker/Podman for voice fine-tuning in Gradio's Web UI

[Bachelor Graduation Project] Use Xception model for face anti-spoofing