te-565
Data ninja, beer drinker, do-er of stupid things and occasional data scientist, hacker and web developer.
Department of TransportLondon, UK
te-565's Stars
GokuMohandas/Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
NVlabs/stylegan2
StyleGAN2 - Official TensorFlow Implementation
cortexlabs/cortex
Production infrastructure for machine learning at scale
evidentlyai/evidently
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
elyase/awesome-gpt3
jamalex/notion-py
Unofficial Python API client for Notion.so
mbloch/mapshaper
Tools for editing Shapefile, GeoJSON, TopoJSON and CSV files
shankarpandala/lazypredict
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
GoogleCloudPlatform/ml-design-patterns
Source code accompanying O'Reilly book: Machine Learning Design Patterns
nidhaloff/deep-translator
A flexible free and unlimited python tool to translate between different languages in a simple way using multiple translators.
allisonhorst/palmerpenguins
A great intro dataset for data exploration & visualization (alternative to iris).
datarevenue-berlin/OpenMLOps
dask/dask-kubernetes
Native Kubernetes integration for Dask
ialbert/plac
Plac: Parsing the Command Line the Easy Way
spotify/terraform-gke-kubeflow-cluster
Terraform module for creating GKE clusters to run Kubeflow
solliancenet/azure-synapse-analytics-day
balavenkatesh3322/NLP-pretrained-model
A collection of Natural language processing pre-trained models.
solliancenet/azure-synapse-analytics-workshop-400
pysal/mapclassify
Classification schemes for choropleth mapping.
pysal/segregation
Segregation Measurement, Inferential Statistics, and Decomposition Analysis
Wadaboa/3d-bpp
3D bin packing solutions with layers and superitems, for Artificial Intelligence in Industry class at UNIBO
station-10/awesome-marketing-machine-learning
A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inference and more
wellcometrust/WellcomeML
Retired repository for Machine Learning utils at the Wellcome Trust (now deprecated).
department-for-transport-public/Open_NaPTAN
A collection of methods for checking the validity of entries into the Naptan dataset and displaying Naptan geospatial data in an interactive web browser.
HocLengChung/Apache-Beam-Dataflow-for-public
juliendelile/Antler
R package for single-cell RNA-sequencing analysis
department-for-transport/lab-correspondencewebapp
Web app that can perform OCR on correspondence and sort PQs
te-565/apache-beam-jupyter-notebook
☄️ A simple Apache Beam pipeline running in a Jupyter Notebook
te-565/conda_container
Template for a conda project
te-565/Objectron
Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes