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Search: machine-learning
Page 7
Showing 10 results from 32,441
d2l-ai/d2l-en
GitHub Python OtherInteractive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
External source
GitHub
ZuzooVn/machine-learning-for-software-engineers
GitHub Creative Commons Attribution Share Alike 4.0 InternationalA complete daily plan for studying to become a machine learning engineer.
External source
GitHub
Ebazhanov/linkedin-skill-assessments-quizzes
GitHub Python GNU Affero General Public License v3.0Full reference of LinkedIn answers 2024 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lΓΆsungen, linkedin machine learning test LinkedIn test questions and answers
External source
GitHub
dmlc/xgboost
GitHub C++ Apache License 2.0Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
External source
GitHub
ChristosChristofidis/awesome-deep-learning
GitHubA curated list of awesome Deep Learning tutorials, projects and communities.
External source
GitHub
rohitg00/ai-engineering-from-scratch
GitHub Python MIT LicenseLearn it. Build it. Ship it for others.
External source
GitHub
fastai/fastai
GitHub Jupyter Notebook Apache License 2.0The fastai deep learning library
External source
GitHub
NirDiamant/RAG_Techniques
GitHub Jupyter Notebook OtherThis repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
External source
GitHub
srbhr/Resume-Matcher
GitHub TypeScript Apache License 2.0Improve your resumes with Resume Matcher. Get insights, keyword suggestions and tune your resumes to job descriptions.
External source
GitHub
mozilla/DeepSpeech
GitHub C++ Mozilla Public License 2.0DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
External source
GitHub
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