Is awesomedata/awesome-public-datasets a good alternative to Awesome Machine Learning On Source Code?

This project is a community-maintained, open-access directory of high-quality public datasets. It serves as a centralized reference point for researchers, developers, and data scientists to locate reliable information sources across a wide spectrum of industries and scientific fields.

Is benedekrozemberczki/awesome-graph-classification a good alternative to Awesome Machine Learning On Source Code?

A collection of important graph embedding, classification and representation learning papers with implementations.

Is ujjwalkarn/machine-learning-tutorials a good alternative to Awesome Machine Learning On Source Code?

This repository serves as a structured educational resource for machine learning and data science, providing a centralized collection of tutorials, lecture notes, and implementation guides.

Is jospolfliet/awesome-ai-usecases a good alternative to Awesome Machine Learning On Source Code?

A list of awesome and proven Artificial Intelligence use cases and applications

Is astrazeneca/awesome-drug-pair-scoring a good alternative to Awesome Machine Learning On Source Code?

Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022)

Is astrazeneca/awesome-explainable-graph-reasoning a good alternative to Awesome Machine Learning On Source Code?

A collection of research papers and software related to explainability in graph machine learning.

Is benedekrozemberczki/awesome-monte-carlo-tree-search-papers a good alternative to Awesome Machine Learning On Source Code?

A curated list of Monte Carlo tree search papers with implementations.

Is nerox8664/awesome-computer-vision-models a good alternative to Awesome Machine Learning On Source Code?

A list of popular deep learning models related to classification, segmentation and detection problems

Is benedekrozemberczki/awesome-fraud-detection-papers a good alternative to Awesome Machine Learning On Source Code?

A curated list of data mining papers about fraud detection.

Is benedekrozemberczki/awesome-decision-tree-papers a good alternative to Awesome Machine Learning On Source Code?

A collection of research papers on decision, classification and regression trees with implementations.

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Open-source alternatives to Awesome Machine Learning On Source Code

30 open-source projects similar to src-d/awesome-machine-learning-on-source-code, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Awesome Machine Learning On Source Code alternative.

awesomedata/awesome-public-datasets
awesomedata/awesome-public-datasets
75,979Auf GitHub ansehen
This project is a community-maintained, open-access directory of high-quality public datasets. It serves as a centralized reference point for researchers, developers, and data scientists to locate reliable information sources across a wide spectrum of industries and scientific fields. By providing a structured index, the repository facilitates the discovery of data necessary for exploratory analysis, machine learning model training, and the development of data-intensive applications. The directory distinguishes itself through a lightweight, platform-agnostic approach to resource indexing that
aaron-swartzawesome-public-datasetsdatasets
Auf GitHub ansehen75,979
benedekrozemberczki/awesome-graph-classification
benedekrozemberczki/awesome-graph-classification
4,805Auf GitHub ansehen
A collection of important graph embedding, classification and representation learning papers with implementations.
Pythonattention-mechanismclassification-algorithmdeep-graph-kernels
Auf GitHub ansehen4,805
ujjwalkarn/machine-learning-tutorials
ujjwalkarn/Machine-Learning-Tutorials
17,909Auf GitHub ansehen
This repository serves as a structured educational resource for machine learning and data science, providing a centralized collection of tutorials, lecture notes, and implementation guides. It is designed to support self-directed learning by organizing complex technical concepts into a clear, hierarchical path that spans from foundational statistical methods to advanced deep learning architectures. The project distinguishes itself through a comprehensive approach to skill development, bridging the gap between theoretical algorithmic foundations and functional software applications. It offers
awesomeawesome-listdeep-learning
Auf GitHub ansehen17,909

Back to src-d/awesome-machine-learning-on-source-code

Open-source alternatives to Awesome Machine Learning On Source Code

awesomedata/awesome-public-datasets
awesomedata/awesome-public-datasets
75,979Auf GitHub ansehen
This project is a community-maintained, open-access directory of high-quality public datasets. It serves as a centralized reference point for researchers, developers, and data scientists to locate reliable information sources across a wide spectrum of industries and scientific fields. By providing a structured index, the repository facilitates the discovery of data necessary for exploratory analysis, machine learning model training, and the development of data-intensive applications. The directory distinguishes itself through a lightweight, platform-agnostic approach to resource indexing that
aaron-swartzawesome-public-datasetsdatasets
Auf GitHub ansehen75,979
benedekrozemberczki/awesome-graph-classification
benedekrozemberczki/awesome-graph-classification
4,805Auf GitHub ansehen
A collection of important graph embedding, classification and representation learning papers with implementations.
Pythonattention-mechanismclassification-algorithmdeep-graph-kernels
Auf GitHub ansehen4,805
ujjwalkarn/machine-learning-tutorials
ujjwalkarn/Machine-Learning-Tutorials
17,909Auf GitHub ansehen
This repository serves as a structured educational resource for machine learning and data science, providing a centralized collection of tutorials, lecture notes, and implementation guides. It is designed to support self-directed learning by organizing complex technical concepts into a clear, hierarchical path that spans from foundational statistical methods to advanced deep learning architectures. The project distinguishes itself through a comprehensive approach to skill development, bridging the gap between theoretical algorithmic foundations and functional software applications. It offers
awesomeawesome-listdeep-learning
Auf GitHub ansehen17,909

Open-source alternatives to Awesome Machine Learning On Source Code

awesomedata/awesome-public-datasets

benedekrozemberczki/awesome-graph-classification

ujjwalkarn/Machine-Learning-Tutorials

Open-source alternatives to Awesome Machine Learning On Source Code

awesomedata/awesome-public-datasets

benedekrozemberczki/awesome-graph-classification

ujjwalkarn/Machine-Learning-Tutorials

JosPolfliet/awesome-ai-usecases

AstraZeneca/awesome-drug-pair-scoring

AstraZeneca/awesome-explainable-graph-reasoning

benedekrozemberczki/awesome-monte-carlo-tree-search-papers

nerox8664/awesome-computer-vision-models

benedekrozemberczki/awesome-fraud-detection-papers

benedekrozemberczki/awesome-decision-tree-papers

jnv/lists

vinta/awesome-python

josephmisiti/awesome-machine-learning

jbhuang0604/awesome-computer-vision

ZuzooVn/machine-learning-for-software-engineers

jozefg/learn-tt

bayandin/awesome-awesomeness

ossu/computer-science

qinwf/awesome-R

benedekrozemberczki/awesome-gradient-boosting-papers

leomaurodesenv/game-datasets

benedekrozemberczki/awesome-community-detection

javierluraschi/awesome-dataviz

donnemartin/data-science-ipython-notebooks

MaximAbramchuck/awesome-interviews

johnjago/awesome-theravada

ciandcd/awesome-ciandcd

cloudcommunity/Free-Certifications

j0hnm4r5/awesome-creative-technology

HussainAther/awesome-philosophy