minLoRA
GTSRB
| minLoRA | GTSRB | |
|---|---|---|
| 3 | 1 | |
| 389 | 108 | |
| - | - | |
| 2.4 | 10.0 | |
| 11 months ago | almost 2 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
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minLoRA
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[D] Is it possible to train the same LLM instance on different users' data?
This repository seems to be doing it. Basically, you want to take the weights/biases that were trained during the LoRA training process and include them in the compute graph for the larger network, or remove them.
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[P] minLoRA: An Easy-to-Use PyTorch Library for Applying LoRA to PyTorch Models
Theirs requires you to rewrite the whole model and replace every layer you want to apply LoRA to to the LoRA counterpart, or use monky-patching. Mine utilizes PyTorch parametrizations to inject the LoRA logic to existing models. If your model has nn.Linear, you can call add_lora(model) to add LoRA to all the linear layers. And it's not limited to Linear, you can see how I extended it to Embedding, Conv2d in a couple lines of code. https://github.com/cccntu/minLoRA/blob/main/minlora/model.py
GTSRB
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Need help with a project!!
https://github.com/vamsiramakrishnan/TrafficSignRecognition https://github.com/surmenok/GTSRB/blob/master/german-traffic-signs.ipynb https://github.com/alessiamarcolini/deepstreet https://github.com/JamesLuoau/Traffic-Sign-Recognition-with-Deep-Learning-CNN https://github.com/wolfapple/traffic-sign-recognition https://github.com/hellojialee/Traffic_Sign_Recognition_Efficient_CNN
What are some alternatives?
peft - 🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
SkinDeep - Get Deinked!!
TrafficSignRecognition - A Deep Neural Network to do traffic sign recognition
deepstreet - Traffic Sign Recognition - Fine tuning VGG16 + GTSRB
Super-Cars-VS-SUVs - This is a deep neural network that looks at an images of cars and then classify them as suv and supercars
Traffic_Sign_Recognition_Efficient_CNNs - A repository for the paper "Real-Time Traffic Sign Recognition Based on Efficient CNNs in the Wild"
glasses - High-quality Neural Networks for Computer Vision 😎
CNN-Filter-DB - A database of over 1.4 billion 3x3 convolution filters extracted from hundreds of diverse CNN models with relevant meta information (CVPR 2022 ORAL)
Captcha-Breaker-project - Recognition of Text-Captcha images, and analysis of breaking it with various techniques
analytics-zoo - Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray
traffic-sign-recognition - Built and trained a deep neural network to classify traffic signs, using PyTorch. The highlights of this solution would be data preprocessing, trained with heavily augmented data and using Spatial Transformer Network.
affnet - Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"