Popular GitHub Repositories for Collective Variables

Collective communications library with various primitives for multi-machine training.

Collective Knowledge (CK), Collective Mind (CM) and Common Metadata eXchange (CMX): community-driven projects to facilitate collaborative and reproducible research and to learn how to run AI, ML, and other emerging workloads more efficiently and cost-effectively across diverse models, datasets, software, and hardware using MLPerf.

SKAB - Skoltech Anomaly Benchmark. Time-series data for evaluating Anomaly Detection algorithms.

Ultra and Unified CCL

Loopy belief propagation for factor graphs on discrete variables in JAX

scikit-fusion: Data fusion via collective latent factor models

Collective Knowledge components for TensorFlow (code, data sets, models, packages, workflows):

Distributed training (multi-node) of a Transformer model

Using CNN-LSTM deep learning model for digital soil mapping. This is the code for paper "Zhang et al. A CNN-LSTM model for soil organic carbon content prediction with long time series of MODIS-based phenological variables"

Embed categorical variables via neural networks.

Causing: CAUsal INterpretation using Graphs

Slax Reader goes beyond saving content—it helps you learn. Save web pages, highlight, discuss, and use AI to clarify concepts. Follow creators and explore shared bookmarks for collective insights.

Zumbra is a custom programming language built with its own parser, compiler, and virtual machine. It supports function definitions, scoped variables, custom operators, and more, all with a minimalist syntax and a playful soul.

Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.

Samples using context variables and (system) entities in IBM Watson Assistant (formerly Conversation) service on IBM Cloud

Collective Knowledge crowd-tuning extension to let users crowdsource their experiments (using portable Collective Knowledge workflows) such as performance benchmarking, auto tuning and machine learning across diverse platforms with Linux, Windows, MacOS and Android provided by volunteers. Demo of DNN crowd-benchmarking and crowd-tuning:

The implementation of AAAI-17 paper "Collective Deep Quantization of Efficient Cross-modal Retrieval"

[ACL 2021] MLBiNet: A Cross-Sentence Collective Event Detection Network

Easily manage ChatGPT conversation variables

# Machine Learning (Coursera) This is my solution to all the programming assignments and quizzes of Machine-Learning (Coursera) taught by Andrew Ng. After completing this course you will get a broad idea of Machine learning algorithms. Try to solve all the assignments by yourself first, but if you get stuck somewhere then feel free to browse the code. ## Contents * Lectures Slides * Solution to programming assignment * Solution to Quizzes by Andrew Ng, Stanford University, [Coursera](https://www.coursera.org/learn/machine-learning/home/welcome) ### Week 1 - [X] Videos: Introduction - [X] Quiz: Introduction - [X] Videos: Linear Regression with One Variable - [X] Quiz: Linear Regression with One Variable ### Week 2 - [X] Videos: Linear Regression with Multiple Variables - [X] Quiz: Linear Regression with Multiple Variables - [X] Videos