Repository Index

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

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.

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

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.

A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.

• feature-selection
• data-science
• python

TranslatedTensorFlow in practice: using LSTM to predict lottery results

Reference mapping for single-cell genomics

• single-cell
• deep-learning
• rna-seq-analysis
• data-integration

Genomic Pretrained Network - GPN, GPN-MSA, PhyloGPN, GPN-Star

• dna
• language-model
• variant-effect-prediction
• genomics

TranslatedLearning machine learning and quantitative analysis, in progress

Implementation of various topic models

Deep Reinforcement Learning for de-novo Drug Design

• deeplearning
• reinforcement-learning
• cheminformatics
• molecular-modeling

Tensorflow implementation of "Learning Deep Features for Discriminative Localization"

Fusing Histology and Genomics via Deep Learning - IEEE TMI

• pathomic
• fusion
• multimodal
• pathology

An OCaml kernel for Jupyter (IPython) notebook

• ocaml
• functional-programming
• jupyter-kernels
• machine-learning

Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.