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A collection of libraries to optimise AI model performances
Cool experiments at the intersection of Computer Vision and Sports ⚽🏃
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
Check if you have training samples in your test set
High-quality implementations of standard and SOTA methods on a variety of tasks.
A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch
Beyond Accuracy: Behavioral Testing of NLP models with CheckList
System design patterns for machine learning
Markdown powered Knowledgebase Wiki for Node.js
A game theoretic approach to explain the output of any machine learning model.
A GUI application to design American Football Playbooks, primarily for 5on5 Flag (also 7on7, 9on9, 11on11)
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
👑 Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA
A Python module to perform exploratory & confirmatory factor analyses.
Python implementation of STATIS for analysis of several data tables
A flexible template for doing reproducible data science in Python.
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Create an issue to submit a problem that you need help with.
Single Shot MultiBox Detector in TensorFlow
Diplomacy: DATC-Compliant Game Engine with Web Interface
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
Web based localization tool with tight version control integration.