Neural question generation using transformers
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TeachOpenCADD: a teaching platform for computer-aided drug design (CADD) using open source packages and data
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
- seq2seq
- tensorflow
- tensorflow-tutorials
- python
"Neural Turing Machine" in Tensorflow
- tensorflow
- neural-turing-machines
FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability
- agriculture
- ai
- geospatial
- geospatial-analytics
Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
- aifinance
- fintech
- llama
- machine-learning
A simple Python data-structure visualization tool for lists of lists, lists, dictionaries; primarily for use in Jupyter notebooks / presentations
Pathology Foundation Model - Nature Medicine
- foundation
- foundation-model
- histopathology
- mahmoodlab
A knowledge graph and a set of tools for drug repurposing
- drug-repurposing
- knowledge-graph
- graph-neural-networks
- knowledge-graph-embeddings
Move fast from data science prototype to pipeline. Capture, analyze, and transform messy notebooks into data pipelines with just two lines of code.
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
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
Sources codes for: Mastering Python for Finance, Second Edition
- machine-learning
- python
- ai
YouTube video source code for Season 3
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
A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
- feature-selection
- data-science
- python
Tensorflow implementation of "Learning Deep Features for Discriminative Localization"
Open source remote sensing dataset with benchmarks
Urban Informatics and Visualization (UC Berkeley CP255)
This is the code for "Bitcoin Prediction" by Siraj Raval on Youtube