Repository Index

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

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

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

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

Reference mapping for single-cell genomics

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

Presentations from H2O meetups & conferences by the H2O.ai team

• h2o
• presentations
• meetups
• h2oai

TranslatedLearning machine learning and quantitative analysis, in progress

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.

TranslatedLLM teaching material for high school students: based on Karpathy's microgpt, for Google Colab