Starred repositories
CUDA and Triton implementations of Flash Attention with SoftmaxN.
Machine Learning Engineering Open Book
Accessible large language models via k-bit quantization for PyTorch.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Lectures for INFO8010 Deep Learning, ULiège
Full reference of LinkedIn answers 2024 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel t…
An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collec…
A PyTorch repo for data loading and utilities to be shared by the PyTorch domain libraries.
DBND is an agile pipeline framework that helps data engineering teams track and orchestrate their data processes.
A repository to host extended examples and tutorials
NMA deep learning course
https://huyenchip.com/ml-interviews-book/
Hypergol is a Data Science/Machine Learning productivity toolkit to accelerate any projects into production with autogenerated code, standardised structure for data and ML and parallel processing o…
"Probabilistic Machine Learning" - a book series by Kevin Murphy
Set of scripts and notebooks used to produce results visible in RecipeNLG paper
Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0
Beyond Accuracy: Behavioral Testing of NLP models with CheckList
Interpretable Evaluation for (Almost) All NLP Tasks
Trustbit (Softwarepark) exercises and dojos for DDD and Data Science 💖