Deep Learning applied to Integral data analysis
Move to the root directory of the project and execute :
pip install .
Scripts will be placed in the deepcompton.scripts submodule and can be run using :
python deepcompton/scripts/<name_of_the_scripts>.py
You may also try directly the command (after installing the library):
deepcompton-reco-compton-density
pytorch-maml This is a PyTorch implementation of the supervised learning experiments from the paper Model-Agnostic Meta-Learning (MAML): https://arxiv
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visa-cli A python script to lookup Passport Index Dataset Installation pip install visa-cli Usage usage: visa-cli [-h] [-d DESTINATION_COUNTRY] [-f]
PyTorch Tabular aims to make Deep Learning with Tabular data easy and accessible to real-world cases and research alike.
Artifact • Reproduce Bugs • Quick Start • Installation • Extend Tzer Coverage-Guided Tensor Compiler Fuzzing with Joint IR-Pass Mutation This is the s
Jigsaw Rate Severity of Toxic Comments
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使用yolov5训练自己的数据集（详细过程）并通过flask部署 依赖库 torch torchvision numpy opencv-python lxml tqdm flask pillow tensorboard matplotlib pycocotools Windows，请使用 pycoc
Simple PyTorch Implementation of "Grokking" Implementation of Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets Usage Running
Apple NeuralHash is a perceptual hashing method for images based on neural networks. It can tolerate image resize and compression.
TransNAS-Bench-101 This repository contains the publishable code for CVPR 2021 paper TransNAS-Bench-101: Improving Transferrability and Generalizabili
Music Trees Supplementary code for the experiments described in the 2021 ISMIR submission: Leveraging Hierarchical Structures for Few Shot Musical Ins
CTC segmentation CTC segmentation can be used to find utterances alignments within large audio files. This repository contains the ctc-segmentation py
TensorFlow2-GAN Collection of tf2.0 implementations of Generative Adversarial Network varieties presented in research papers. Model architectures will
StackRec: Efficient Training of Very Deep Sequential Recommender Models by Iterative Stacking Datasets You can download datasets that have been pre-pr
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