Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts
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Updated
Aug 10, 2024 - Python
Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts
Fine-tune SAM (Segment Anything Model) for computer vision tasks such as semantic segmentation, matting, detection ... in specific scenarios
Code for finetuning AlexNet in TensorFlow >= 1.2rc0
ImageNet pre-trained models with batch normalization for the Caffe framework
Fine-tuning code for CLIP models
A curated list of open source repositories for AI Engineers
[SOTA] [92% acc] 786M-8k-44L-32H multi-instrumental music transformer with true full MIDI instruments range, efficient encoding, octo-velocity and outro tokens
Various installation guides for Large Language Models
BERT based pretrained model using SQuAD 2.0 Dataset for Question-Answering
Use FastSpeech2 and HiFi-GAN to easily perform end-to-end Korean speech synthesis.
A cryptocurrency-focused AI chatbot that utilizes real-time on-chain blockchain data. This advanced chatbot is designed to engage in natural language Q&A interactions and can seamlessly invoke relevant APIs when users pose queries that necessitate API calls.
TensorFlow Implementation of Manifold Regularized Convolutional Neural Networks.
Domain Randomization Shape Detection
🚂 Fine-tune OpenAI models for text classification, question answering, and more
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