t81_558_deep_learning VS Hands-On-Meta-Learning-With-Python

Compare t81_558_deep_learning vs Hands-On-Meta-Learning-With-Python and see what are their differences.

t81_558_deep_learning

T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis (by jeffheaton)
neural-network Machine Learning Tensorflow Keras Deeplearning Gan convolutional-neural-networks
Source Code
sites.wustl.edu
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Hands-On-Meta-Learning-With-Python

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow (by sudharsan13296)
metalearning maml Reptile meta-sgd Tensorflow ntm mann one-shot-learning few-shot-learning matching-networks siamese-network prototypical-networks relation-network deep-meta-learning meta-imitation-learning Keras shot-learning prototypical-network reinforcement-learning zero-shot-learning
Source Code
amazon.com
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t81_558_deep_learning Hands-On-Meta-Learning-With-Python
10 2
5,671 1,123
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3.4 0.0
7 days ago over 2 years ago
Jupyter Notebook Jupyter Notebook
GNU General Public License v3.0 or later -
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t81_558_deep_learning

Posts with mentions or reviews of t81_558_deep_learning. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-27.

Hands-On-Meta-Learning-With-Python

Posts with mentions or reviews of Hands-On-Meta-Learning-With-Python. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing t81_558_deep_learning and Hands-On-Meta-Learning-With-Python you can also consider the following projects:

dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).

machine-learning-experiments - 🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo

image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

EfficientWord-Net - OneShot Learning-based hotword detection.

DotA2-Icon-GAN - Using GANs to generate DotA2 Ability Icons

super-resolution - Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution

Artifact_Removal_GAN - A U-net GAN for jpeg artifact removal

alpha-zero-general - A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

handwritten-digits-recognizer-webapp - This is my first experience with machine learning

SBERT-for-Question-Answering-on-COVID-19-Dataset - Sentence Bert for Question-Answering on COVID-19 Open Research Dataset (CORD-19)

gan-vae-pretrained-pytorch - Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

Practical_RL - A course in reinforcement learning in the wild

t81_558_deep_learning vs dnn_from_scratch Hands-On-Meta-Learning-With-Python vs machine-learning-experiments t81_558_deep_learning vs image-super-resolution Hands-On-Meta-Learning-With-Python vs EfficientWord-Net t81_558_deep_learning vs DotA2-Icon-GAN Hands-On-Meta-Learning-With-Python vs super-resolution t81_558_deep_learning vs Artifact_Removal_GAN Hands-On-Meta-Learning-With-Python vs alpha-zero-general t81_558_deep_learning vs handwritten-digits-recognizer-webapp Hands-On-Meta-Learning-With-Python vs SBERT-for-Question-Answering-on-COVID-19-Dataset t81_558_deep_learning vs gan-vae-pretrained-pytorch Hands-On-Meta-Learning-With-Python vs Practical_RL