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remyaem's Projects

adanet icon adanet

Fast and flexible AutoML with learning guarantees.

algodeck icon algodeck

An Open-Source Collection of +200 Algorithmic Flash Cards to Help you Preparing your Algorithm & Data Structure Interview 💯

awesome-kan icon awesome-kan

A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold Network field.

bert icon bert

TensorFlow code and pre-trained models for BERT

best-of-ml-python icon best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

bithacks icon bithacks

Bit Twiddling Hacks By Sean Eron Anderson: code snippets in Python

datascience_interview_seminar icon datascience_interview_seminar

This is the presentation on - What are the key points one should consider if they will be appearing in Data Science job interview

deep-learning-projects icon deep-learning-projects

Understanding deep learning with classification and regression projects with intense computation

densepose icon densepose

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

dl4nlp icon dl4nlp

Deep Learning for NLP resources

exoplanet-ml icon exoplanet-ml

Machine learning models and utilities for exoplanet science.

fastbook icon fastbook

The fastai book, published as Jupyter Notebooks

gandissect icon gandissect

Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/

ganimation icon ganimation

GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]

h2o-tutorials icon h2o-tutorials

Tutorials and training material for the H2O Machine Learning Platform

handson-ml icon 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.

handson-ml2 icon handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

kafka-streams-machine-learning-examples icon kafka-streams-machine-learning-examples

This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and its Streams API. Models are built with Python, H2O, TensorFlow, Keras, DeepLearning4 and other technologies.

keyword-extracter icon keyword-extracter

Problem Statement: Given a particular PDF/Text document ,How to extract keywords and arrange in order of their weightage using Python?

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