Stars
Open-source Windows and Office activator featuring HWID, Ohook, TSforge, and Online KMS activation methods, along with advanced troubleshooting.
Distributed Deep learning with Keras & Spark
π Papers & tech blogs by companies sharing their work on data science & machine learning in production.
The official source of truth for the Lisbon Data Science Academy. ππ» https://ldssa.github.io/wiki/
π A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
Educational project on how to build an ETL (Extract, Transform, Load) data pipeline, orchestrated with Airflow.
Fairly is a tool to help tech workers residing in Portugal know if they're being paid fairly.
Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.
Beginner data engineering project - batch edition
Learning from multiple companies in Silicon Valley. Netflix, Facebook, Google, Startups
A list of useful resources to learn Data Engineering from scratch
The purpose of the catalog is to help data science teams to collect all the requirements to consider while building a ML model and productionizing it.
Approaching (Almost) Any Machine Learning Problem
Accumulated knowledge and experience in the field of Data Engineering
Collection of useful data science topics along with articles, videos, and code
The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
A library for efficient similarity search and clustering of dense vectors.
Streamlit β A faster way to build and share data apps.
This course covers how you can use NLP to do stuff.
Tensorflow2.0 ππ is delicious, just eat it! ππ
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
π€ Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
120+ Common code and interview problems solved in Python **(it's GROWING...)** Give a Star πIf it helps you. Please go through the README.md before starting.
FastAPI framework, high performance, easy to learn, fast to code, ready for production
PyTorch original implementation of Cross-lingual Language Model Pretraining.