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🤗 smolagents: a barebones library for agents. Agents write python code to call tools and orchestrate other agents.
The book every data scientist needs on their desk.
NVIDIA Math Libraries for the Python Ecosystem
The repository for the code of the UltraFastBERT paper
portion, a Python library providing data structure and operations for intervals.
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
Change the default browser in macOS (Catalina, Big Sur).
Cat with prey detection on Raspberry Pi. Lock cat pet flap if prey is detected. Object detection implemented in TFLite with ImageNet v1 SSD. Inference on EdgeTPU (Google Coral USB). Stores images o…
A fast CSV command line toolkit written in Rust.
Python scripts to interact with comdirect REST api
A collection of scripts and notebooks to help you get started quickly.
How to Win a Data Science Competition: Learn from Top Kagglers
Ready to run docker-compose configuration for ML Flow with Mysql and Minio S3
A resource for learning about Machine learning & Deep Learning
This repository contains the code for the example Kubeflow Pipeline from https://towardsdatascience.com/machine-learning-pipelines-with-kubeflow-4c59ad05522
Example using Great Expectations to Validate Data in a scikit-learn Pipeline
Some custom dataset examples for PyTorch
🛁 Clean Code concepts adapted for Python
Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation
Python implementations of the Boruta all-relevant feature selection method.
A supermarket receipt parser written in Python using tesseract OCR
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.