308 Open source projects that are alternatives of or similar to Maml Tf

Owl - OCaml Scientific and Engineering Computing @ http://ocaml.xyz

Meta Self-learning for Multi-Source Domain Adaptation： A Benchmark

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

[IJCAI 2021] Cross-Domain Few-Shot Classification via Adversarial Task Augmentation

Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"

No description or website provided.

[CVPR19] FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation from a Single Image

Developed a supervised machine learning system that can estimate a country's GDP per capita using regression algorithms.

🎓 Tidy regression tools for academics

Remaining Useful Life (RUL) estimation of Lithium-ion batteries using deep LSTMs

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Official PyTorch implementation of "Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning" (ICCV2021 Oral)

A Julia machine learning framework

A PureScript, browser-based implementation of simple linear regression.

TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)

tiny fast portable real-time deep neural network for regression and classification within 50 LOC.

Hierarchical Co-occurrence Network with Prototype Loss for Few-shot Learning (PyTorch)

This repository implements the paper, Model-Agnostic Meta-Leanring for Fast Adaptation of Deep Networks.

Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)

Code for: "Learning To Adapt For Stereo" accepted at CVPR2019

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

D-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model selection using scikit-learn and TPOT.

Add linear models including instrumental variable and panel data models that are missing from statsmodels.

No description or website provided.

Repository for few-shot learning machine learning projects

Source code for CVPR 2020 paper "Scene-Adaptive Video Frame Interpolation via Meta-Learning"

mlpack: a scalable C++ machine learning library --

Journal-style regression tables

A collection of tools for chemometrics and machine learning written in Julia.

My notes and assignment solutions for Stanford CS330 (Fall 2019 & 2020) Deep Multi-Task and Meta Learning

Generalized linear models in Julia

MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entirely different from those used for meta-training.

A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

Fast & numerically stable statistical analysis

Learning a Single Convolutional Super-Resolution Network for Multiple Degradations (CVPR, 2018) (Matlab)

💪 🤔 Modern Super Learning with Machine Learning Pipelines

Tribuo - A Java machine learning library

Code for meta-learning initializations for image segmentation

Artificial Neural Network

ImVisible: Pedestrian Traffic Light Dataset, Neural Network, and Mobile Application for the Visually Impaired (CAIP '19, ICCVW'19)

Automated Machine Learning with scikit-learn

This is a Project Page of 'Towards a complete 3D morphable model of the human head'

An open-source, low-code machine learning library in Python

This is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising"(KDD2021).

"Learning to learn by gradient descent by gradient descent "by PyTorch -- a simple re-implementation.

Official implementation of the paper "PIVEN: A Deep Neural Network for Prediction Intervals with Specific Value Prediction" by Eli Simhayev, Gilad Katz and Lior Rokach

Simple machine learning library / 簡單易用的機器學習套件

BAS R package https://merliseclyde.github.io/BAS/

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

Vectorized Machine Learning in Python 🐍 From Scratch

Implementation of "Make One-Shot Video Object Segmentation Efficient Again” and the semi-supervised fine-tuning "e-OSVOS" approach (NeurIPS 2020).

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

Shiny dashboard for Land Use Regression modelling

Implementation of a Partial Least Squares Regressor

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

Yet another neural network library

Few-shot binary text classification with Induction Networks and Word2Vec weights initialization

A resource list for causality in statistics, data science and physics

Examples use case of PHP-ML library.

Minimalistic Multiple Layer Neural Network from Scratch in Python.