SabaDeMa's Stars
codecrafters-io/build-your-own-x
Master programming by recreating your favorite technologies from scratch.
ripienaar/free-for-dev
A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
apache/superset
Apache Superset is a Data Visualization and Data Exploration Platform
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
n8n-io/n8n
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
floodsung/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
ManimCommunity/manim
A community-maintained Python framework for creating mathematical animations.
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
google/yapf
A formatter for Python files
amueller/word_cloud
A little word cloud generator in Python
twitter/the-algorithm-ml
Source code for Twitter's Recommendation Algorithm
ahmedbahaaeldin/From-0-to-Research-Scientist-resources-guide
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
enso-org/enso
Enso Analytics is a self-service data prep and analysis platform designed for data teams.
zenml-io/zenml
ZenML 🙏: The bridge between ML and Ops. https://zenml.io.
dlt-hub/dlt
data load tool (dlt) is an open source Python library that makes data loading easy 🛠️
infiniflow/infinity
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text
oegedijk/explainerdashboard
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
linkedin/greykite
A flexible, intuitive and fast forecasting library
benedekrozemberczki/awesome-gradient-boosting-papers
A curated list of gradient boosting research papers with implementations.
Cerebras/modelzoo
GuangchuangYu/hexSticker
:sparkles: Hexagon sticker in R
patrickloeber/python-engineer-notebooks
erdogant/distfit
distfit is a python library for probability density fitting.
densitydesign/raw
The missing link between spreadsheets and data visualization
shilewenuw/get_all_tickers
Get all publicly traded tickers with this library
D-dot-AT/Stock-Prediction-Neural-Network-and-Machine-Learning-Examples
Examples of python neural net and ML stock prediction methods with sample stock data.
ICIJ/offshoreleaks-data-packages
Tools to produce and share the downloadable Neo4j packages and guides
JacekMajchrzak/awesome-datamesh
handcraftsman/TreeBasedMachineLearningAlgorithms
source code from the book Tree-based Machine Learning Algorithms by Clinton Sheppard
lorenzoridolfi9/Traffic-Detection-and-Count
Traffic Detection and Count with yolov8