Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

A playbook for systematically maximizing the performance of deep learning models.

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Sleeping Mac = Bluetooth off

Tools to Design or Visualize Architecture of Neural Network

PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349

Transformer-based Conditional Variational Autoencoder for Controllable Story Generation

Studio: Simplify and expedite model building process

Simple and Distributed Machine Learning Python Library porting ML algorithms for Spark

Learn Python for free using open-source notebooks in Hebrew.

Sequence to sequence network implementation in Pytorch

The fastai book, published as Jupyter Notebooks

Create delightful software with Jupyter Notebooks

The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.

A curated list of recent models of text generation and application

Sequence to Sequence Learning with Keras

Paper List for Style Transfer in Text

Fit interpretable models. Explain blackbox machine learning.

🔧 A curated list of awesome dataset tools

Secure desktop app for retriving your transactions from all israeli banks and credit cards

Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO

A Python package for manipulating 2-dimensional tabular data structures

Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch…

Implementation of Stochastic Beam Search using Fairseq

Grid studio is a web-based application for data science with full integration of open source data science frameworks and languages.

Docker image for Jupyter notebooks with PySpark

Approximate Nearest Neighbor Search for Sparse Data in Python!

🚚 Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark

🐍 📊 📈 Build complex dashboards without any front-end code. Use your own endpoints. JSON config only. Ready to go.