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abhisheknaiidu

👀

adamalston

Thank you for all of the stars! :)

adaptive-style-transfer

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

bank-note-authentication-flask-and-docker

bert_text_classification_tensorflow

Use uncased BERT with fine tuning for text classification in Quora Insincere Dataset.

chatbot_cn

基于金融-司法领域(兼有闲聊性质)的聊天机器人，其中的主要模块有信息抽取、NLU、NLG、知识图谱等，并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口

conversational-ai-with-rasa

CAI Rasa

cotton_disease_prediction

d3v

data-science-interviews

Data science interview questions and answers

data-science-on-aws

AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker

genre_classification

End to End Machine Learning workflow with MLflow.

gradcam_visualization

Grad-CAM is a form of post-hoc attention, meaning that it is a method for producing heatmaps that is applied to an already-trained neural network after training is complete and the parameters are fixed.

interactive_tools

Interactive Tools for Machine Learning, Deep Learning and Math

language-style-transfer

madewithml

Learn how to responsibly deliver value with ML.

mask-or-no-mask

ml-pipeline-for-short-term-rental-prices-in-nyc

mlops

Free MLOps course from DataTalks.Club

nd0821-c3-starter-code

neural_machine_translation_lstm_attention_eng-to-bengali

nlp-deployment-heroku

nlp-models-tensorflow

Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

nlp-with-python

Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more

nlu_word_embedding

Word Embedding visualization with T-SNE (t-distributed stochastic neighbor embedding) for BERT, ALBERT, ELMO, ELECTRA, XLNET, GLOVE.

patched-face-regeneration-gan

Regenerating Patched or Blacked out parts of human faces using GAN and Denoising Autoencoder.

python-for-algorithms--data-structures--and-interviews

Files for Udemy Course on Algorithms and Data Structures

raymo111

My awesome profile README

reproduce-health_fact_checking

The repository implements this paper (https://arxiv.org/abs/2010.09926) to train bert models for veracity and also for abstractive and extractive summarization.

senitment-analysis-of-imdb-rating-using-scikit-learn