topliftarm's repositories

awesome-deep-learning-papers

The most cited deep learning papers

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awesome-sentiment-analysis

😀😄😂😭 A curated list of Sentiment Analysis methods, implementations and misc. 😥😟😱😤

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BERT-pytorch

Google AI 2018 BERT pytorch implementation

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bigdata18

Transfer learning for time series classification

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Capsule-Network-Tutorial

Pytorch easy-to-follow Capsule Network tutorial

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CS20

CS20 (Tensorflow) 정리

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Data-Analysis

Data Science Using Python

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DataScrapingCrawling

Data Scraping 정리 자료

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deep-image-prior

Image restoration with neural networks but without learning.

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deep-learning-book

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

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DeepLearning-azad

هشت ساعت آموزش یادگیری ماشین و بینایی ماشین و یادگیری عمیق

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DeepNLP

딥러닝 NLP

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DeepRecommender

Deep learning for recommender systems

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EffectiveTensorflow

TensorFlow 1.x and 2.x tutorials and best practices.

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Google-Colab-Tutorial

Google Colab Tutorial

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handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

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Learn_Deep_Learning_in_6_Weeks

This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube

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neural_collaborative_filtering

Neural Collaborative Filtering

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nlp_course

YSDA course in Natural Language Processing

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NNRec

Neural models for Collaborative Filtering

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ProxyScrapper

Scrape Proxys Fast And Free off The Web

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pytorch-CycleGAN-and-pix2pix

Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)

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rpi-i2s

Using the ICS43432 MEMS microphone on a Raspberry Pi with i2s

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scrape-followers-twitter-python

Scrapea los seguidores de cualquier usuario en Twitter. Extract followers of any user on Twitter.

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Seminar

Seminer 진행한 자료

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stat479-deep-learning-ss19

Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison

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Transformer

Chatbot using Tensorflow (Model is transformer) ko

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userrecon

Find usernames across over 75 social networks

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