Lila Garcia's repositories

Keras_Head_Detection_YoloV3

An impliment of yoloV3 in head detection ,keras and tensorflow backend used

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M2Det

M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network

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Additive-Margin-Softmax

This is the implementation of paper <Additive Margin Softmax for Face Verification>

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ampdLib

Python implementation of the Automatic Multiscale Peak Detection (AMPD) by Felix Scholkmann et al., 2012

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auto-sklearn

Automated Machine Learning with scikit-learn

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awesome

😎 Awesome lists about all kinds of interesting topics

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Awesome-AutoDL

A curated list of automated deep learning (including neural architecture search and hyper-parameter optimization) resources.

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awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

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bert

TensorFlow code and pre-trained models for BERT

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client

🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

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conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

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Data-Efficient-Model-Compression

Data Efficient Model Compression

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detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

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EfficientNet-PyTorch

A PyTorch implementation of EfficientNet

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keras_to_tensorflow

General code to convert a trained keras model into an inference tensorflow model

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kmeans_smote

Oversampling for imbalanced learning based on k-means and SMOTE

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knapsack_pruning

Implementation of knapsack pruning

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myLearn

machine learning algorithm

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pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

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pyampd

An improved Python implementation of the Automatic Multiscale Peak Detection algorithm

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pytorch-randaugment

Unofficial PyTorch Reimplementation of RandAugment.

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QNNPACK

Quantized Neural Network PACKage - mobile-optimized implementation of quantized neural network operators

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recsys_core

[电影推荐系统] Based on the movie scoring data set, the movie recommendation system is built with FM and LR as the core(基于爬取的电影评分数据集,构建以FM和LR为核心的电影推荐系统).

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Reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

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ResNeSt

ResNeSt: Split-Attention Network

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smote_variants

A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features

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spreadingvectors

Open source implementation of "Spreading Vectors for Similarity Search"

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vega

AutoML tools chain

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