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Projects in Awesome Lists by matteo-stat
A curated list of projects in awesome lists by matteo-stat .
https://github.com/matteo-stat/mobilevit-a-mobile-friendly-vision-transformer
A Keras implementation of the MobileViT architectures, built from scratch using TensorFlow and Python.
cnn computer-vision image-classification keras mobilevit mobilevitv1 neural-network-architectures neural-network-from-scratch tensorflow transformers
Last synced: 03 Nov 2024
https://github.com/matteo-stat/convmixer-patches-are-all-you-need
A Keras implementation of the ConvMixer architecture from the paper "Patches are all you need?", built from scratch using TensorFlow and Python.
computer-vision convmixer image-classification keras neural-network-architectures neural-networks-from-scratch tensorflow
Last synced: 03 Nov 2024
https://github.com/matteo-stat/transformers-nlp-multi-label-classification
This repo provides scripts for fine-tuning HuggingFace Transformers, setting up pipelines and optimizing multi-label classification models for inference. They are based on my experience developing a custom chatbot, I’m sharing these in the hope they will help others to quickly fine-tune and use models in their projects! 😊
fine-tuning huggingface huggingface-pipelines huggingface-transformers inference-optimization multi-label-classification nlp onnx onnxruntime text-classification transformers
Last synced: 13 Nov 2024
https://github.com/matteo-stat/transformers-llm-llama3.1-fine-tuning-qlora
This repo offers scripts for fine-tuning LLaMA 3.1 models with QLoRA, running inference, and export models. It’s based on my experience building a custom chatbot, and I’m sharing it to help others fine-tune and deploy LLMs on consumer hardware with ease! 😊
fine-tuning huggingface huggingface-transformers large-language-models llama3-1 llama3-1-8b-finetuning llm transformers unsloth
Last synced: 13 Nov 2024
https://github.com/matteo-stat/transformers-nlp-ner-token-classification
This repo provides scripts for fine-tuning HuggingFace Transformers, setting up pipelines and optimizing token classification models for inference. They are based on my experience developing a custom chatbot, I’m sharing these in the hope they will help others to quickly fine-tune and use models in their projects! 😊
fine-tuning huggingface huggingface-pipelines huggingface-transformers inference-optimization named-entity-recognition ner nlp onnx onnxruntime token-classification transformers
Last synced: 13 Nov 2024
https://github.com/matteo-stat/multi-task-learning-object-detection-semantic-segmentation
A multi task neural network implemented from scratch, performing object detection with SSD and semantic segmentation with DeeplabV3+ simultaneosly!
computer-vision deeplab-v3-plus deeplabv3 image-object-detection image-segmentation keras mobilenet-v2 mobilenetv2 neural-network-architectures neural-networks-from-scratch object-detection semantic-segmentation shufflenet-v2 shufflenetv2 single-shot-detector single-shot-multibox-detector ssd ssdlite tensorflow
Last synced: 13 Nov 2024