This repo contains materials for use in a TensorFlow workshop.
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A toolkit for #1millionwomentotech community.
A series of machine learning tutorials for Torch7
The codes I made while I practiced various TensorFlow examples
The repository host gives no description.
IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)
food image to recipe with deep convolutional neural networks.
- convolutional-neural-networks
- keras
- chef
- deep-learning
A library of metrics for evaluating recommender systems
Mostly experiments based on "Advances in financial machine learning" book
Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
- coursework
- fraud-detection
- introduction-to-machine-learning
- machine-learning
Cleora AI is a general-purpose open-source model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data. Created by Synerise.com team.
- ai
- graphs
- synerise
- embeddings
Python package for Bayesian Machine Learning with scikit-learn API
- python
- bayesian-machine-learning
- machine-learning
- scikit-learn
bert-loves-chemistry: a repository of HuggingFace models applied on chemical SMILES data for drug design, chemical modelling, etc.
- huggingface
- bert
- chemical-modelling
- chemical-smiles-data
The repository host gives no description.
The repository host gives no description.
Sources codes for: Mastering Python for Finance, Second Edition
- machine-learning
- python
- ai
ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (CHIL 2020 Workshop)
- clinicalbert
- hospital-readmission
- prediction
F# for Jupyter Notebooks
- f-sharp
- jupyter
- jupyter-notebook
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis
- social-network
- indiana-university
- network-science
- textbook
Solve captcha without manually labeling a training set
- keras
- gan
- neural-network
- generative-adversarial-network
Full tutorial of computer vision and machine learning basics with OpenCV and Keras in Python.
The repository host gives no description.
optimization routines for hyperparameter tuning
A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
- feature-selection
- data-science
- python