Repository Index

Environment for reinforcement-learning algorithmic trading models

A knowledge graph and a set of tools for drug repurposing

• drug-repurposing
• knowledge-graph
• graph-neural-networks
• knowledge-graph-embeddings

Machine Learning toolbox for Humans

A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.

ZeroCostDL4Mic: A Google Colab based no-cost toolbox to explore Deep-Learning in Microscopy

Benchmarks for Low Latency (Streaming) solutions including Apache Storm, Apache Spark, Apache Flink, ...

• benchmarks
• low-latency
• streaming

🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations

• graph
• high-performance
• machine-learning
• knowledge-graph

A series of machine learning tutorials for Torch7

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

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

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.

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

TranslatedTensorFlow in practice: using LSTM to predict lottery results

Reference mapping for single-cell genomics

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