Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts
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Updated
Dec 25, 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
The MistralAI API wrapper for Delphi utilizes the various advanced models developed by Mistral to provide robust capabilities for chat interactions, string embeddings, and precise code generation with Codestral.
🚂 Fine-tune OpenAI models for text classification, question answering, and more
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