Stars
Build a Jekyll blog in minutes, without touching the command line.
The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to expand my knowledge, it is now an open knowledge-sharing projec…
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Best Practices on Recommendation Systems
Open source code for AlphaFold 2.
This repository contains demos I made with the Transformers library by HuggingFace.
A deep learning library for video understanding research.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
✍️ A carefully curated list of NLP paper summaries
A Python implementation of global optimization with gaussian processes.
Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
Temporal variation in transmission during the COVID-19 outbreak
Practical notebooks for Khipu 2019, held in Universidad de la República in Montevideo.
Papers & presentation materials from Hugging Face's internal science day
Probabilistic reasoning and statistical analysis in TensorFlow
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
A curated list of automated machine learning papers, articles, tutorials, slides and projects
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
The code describes how unsupervised ML can be applied to well log data for efficient clustering. A part of the well log data is provided.
Contains python code for building multi-class classifiers in scikit-learn. Class balancing, feature transformation, feature selection, hyper-parameter optimization and K-fold stratified cross-valid…