Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
- data-science
- python
- dag
- data-engineering
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Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
Natural Gradient Boosting for Probabilistic Prediction
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability
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Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
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.
Implementation of various topic models
An OCaml kernel for Jupyter (IPython) notebook
This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.
TensorFlow Lite models for MIRNet for low-light image enhancement.
Official repo for CellPLM: Pre-training of Cell Language Model Beyond Single Cells.
Sample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools.
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An Icon classifier made with TFLite Model Maker and deployed to Android with ML Model Binding.