Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
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Updated
Sep 19, 2021 - Jupyter Notebook
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
Neural Turing Machines (NTM) - PyTorch Implementation
Neural Turing Machine (NTM) & Differentiable Neural Computer (DNC) with pytorch & visdom
TensorFlow implementation of Neural Turing Machines (NTM), with its application on one-shot learning (MANN)
A port to Minecraft 1.18 for the Nuclear Tech Mod originally made by HbmMods, migrating to https://codeberg.org/MartinTheDragon/Nuclear-Tech-Mod-Remake
Implementation of EMNLP2020 accepted paper: "TopicBERT: Topic-aware BERT for Efficient Document Classification"
A versatile Python package engineered for seamless topic modeling, topic evaluation, and topic visualization. Ideal for text analysis, natural language processing (NLP), and research in the social sciences, STREAM simplifies the extraction, interpretation, and visualization of topics from large, complex datasets.
Yes, I can create a Facebook chatbot for you. I have experience in creating chatbots for various platforms, including Facebook. I can create a chatbot that can interact with your customers, answer their questions, and provide them with the information they need. I can also create a chatbot that can help you automate customer service tasks,.
Neural Network with external Cognitive Neural Memory (2018)
Do It Yourself Biology
A modular Implementation of the Neural Turing Machine introduced by Alex Graves et al.
pytorch ntm python neural-network neural-turing-machines
PyTorch Lightning implementation of Neural Turing Machine (NTM).
Paper "Description of new species of Mycobacterium terrae complex isolated from sewage at the São Paulo Zoological Park Foundation in Brazil"
This repository contains the data and methods for characterization of integrated prophages within different species of clinical non-tuberculous mycobacterial genomes
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