ztf-ucas

NIST-FSD

NIST-FSD: a benchmark for few-shot object detection.

Awesome-Meta-Learning

A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.

deep_learning_object_detection

A paper list of object detection using deep learning.

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-transfer-learning

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

faiss

A library for efficient similarity search and clustering of dense vectors.

fewshot_ensemble

Ensembles of CNNs for few-shot image classification

FTEM_BSR_CDFSL

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

headless_browser

Headless browser based on WebKit

HowToTrainYourMAMLPytorch

The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.

hummingbird

Hummingbird compiles trained ML models into tensor computation for faster inference.

IDeMe-Net

A PyTorch implementation of "Image Deformation Meta-Networks for One-Shot Learning"(CVPR 2019 Oral).

ios-malicious-bithunter

iOS Malicious Bit Hunter is a malicious plug-in detection engine for iOS applications. It can analyze the head of the macho file of the injected dylib dynamic library based on runtime. If you are interested in other programs of the author, please visit https://github.com/SecurityLife

leo

Implementation of Meta-Learning with Latent Embedding Optimization

lihang-code

《统计学习方法》的代码实现

Meta-SGD-pytorch

Neat implementation of Meta-SGD in pytorch: https://arxiv.org/abs/1707.09835

meta-transfer-learning-tensorflow

The TensorFlow implementation for "Meta-Transfer Learning for Few-Shot Learning"

mmdetection

Open MMLab Detection Toolbox

OneShotTranslation

Pytorch implementation of "One-Shot Unsupervised Cross Domain Translation" NIPS 2018

polish-nlp-resources

Pre-trained models and language resources for Natural Language Processing in Polish

pyMeta

Library to manage machine learning problems as `Tasks' and to sample from Task distributions. Includes Tensorflow implementation of implicit-MAML (iMAML), FOMAML and Reptile.

pytorch-vae

A Variational Autoencoder (VAE) implemented in PyTorch

R2CNN_Faster-RCNN_Tensorflow

Rotational region detection based on Faster-RCNN.

tods

TODS: An Automated Time-series Outlier Detection System

tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

vae

a simple vae and cvae from keras

variational-autoencoder

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

WordSeg

Word Segmentation on strings with no spaces.