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zhashkevych/awesome-backend

A curated list of backend development resources for developers to learn and improve their skills.

3.3K
Stable
API Frameworks
Backend Frameworks
Express
#backend#architecture#databases

matheusfacure/python-causality-handbook

A light-hearted yet rigorous approach to learning about impact estimation and causality in Python.

3.3K
Stable
Jupyter Notebook
Causal Inference
Data Science
Python
#causal-inference#econometrics#data-science

mljar/mljar-supervised

An AutoML Python package for tabular data with feature engineering, hyperparameter tuning, and automatic documentation.

3.2K
Experimental
Python
ML Ops
Databases
Python
#automated-machine-learning#automl#tabular-data

determined-ai/determined

Determined is an open-source machine learning platform for distributed training, hyperparameter tuning, and resource management.

3.2K
Experimental
Go
PyTorch
#machine-learning#open-source#distributed-training

Visualize-ML/Book7_Visualizations-for-Machine-Learning

A Jupyter Notebook repository that provides visualizations and explanations for machine learning concepts and algorithms.

3.2K
Stable
Jupyter Notebook
Machine Learning Algorithms
Books & Guides
#machine-learning#data-science#visualization

dotnet/interactive

.NET Interactive allows developers to create notebooks, REPLs, and embedded coding experiences across multiple languages.

3.2K
Active
C#
IDE Extensions
API Frameworks
C#
#dotnet#interactive#notebooks

aadi1011/AI-ML-Roadmap-from-scratch

Comprehensive roadmap to become skilled in AI, ML, data science, and more from scratch.

3.2K
Experimental
Learning & Education
Tutorials & Courses
#ai#machine-learning#data-science

sbrugman/deep-learning-papers

A curated collection of deep learning research papers organized by task and with the latest state-of-the-art work labeled.

3.2K
Archived
Papers & Research
#deep-learning#machine-learning#neural-networks

louisfb01/best_AI_papers_2022

A curated list of the latest AI breakthroughs in 2022 with explanatory videos, articles, and code.

3.2K
Archived
LLM Frameworks
Tutorials & Courses
#ai#artificial-intelligence#machine-learning

tirthajyoti/Data-science-best-resources

A curated collection of resources for data science and machine learning enthusiasts.

3.2K
Archived
Data Science
Tutorials & Courses
#data-science#machine-learning#analytics

spark-notebook/spark-notebook

An interactive and reactive data science platform powered by Scala and Apache Spark.

3.2K
Archived
JavaScript
Databases
ETL & Pipelines
Scala
#data-science#interactive#reactive

nidhaloff/igel

A delightful machine learning tool that allows you to train, test, and use models without writing code

3.1K
Stable
Python
React
#machine-learning#automl#neural-networks

parrt/dtreeviz

A Python library for visualizing and interpreting decision tree models.

3.1K
Active
Jupyter Notebook
Computer Vision
Machine Learning
#data-science#decision-trees#model-interpretation

bfortuner/ml-glossary

A comprehensive machine learning glossary and cheatsheet for data scientists and AI developers.

3.1K
Archived
Python
Cheatsheets
Tutorials & Courses
Python
#machine-learning#deep-learning#data-science

aksnzhy/xlearn

High-performance machine learning package for Python and CLI interface

3.1K
Archived
C++
C++
#machine-learning#factorization-machines#ffm

datafold/data-diff

A Python library for comparing data across databases, supporting various database engines.

3.0K
Archived
Python
Databases
ETL & Pipelines
#data-diffing#data-quality#data-engineering

nborwankar/LearnDataScience

Open content for self-directed learning in data science with interactive Jupyter Notebooks.

3.0K
Experimental
Jupyter Notebook
React
#data science#self-directed learning#interactive notebooks

libffcv/ffcv

Fast and efficient library for computer vision and other machine learning workloads, built on PyTorch.

3.0K
Archived
Python
Computer Vision
ML Ops
PyTorch
#computer-vision#machine-learning#data-loading

presmihaylov/booknotes

A collection of book notes on various computer science topics, not focused on vibe coder tools.

3.0K
Experimental
Java
Books & Guides
Documentation
#booknotes#books#documentation

benedekrozemberczki/pytorch_geometric_temporal

A PyTorch library for processing spatiotemporal graph data using neural machine learning models.

3.0K
Stable
Python
Graph Neural Networks
Caching
PyTorch
#graph-neural-networks#spatiotemporal-analysis#caching
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