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Search: language-learning
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Showing 10 results from 1,897
cheatsnake/backend-cheats
GitHub MIT License๐ White paper for Backend developers
External source
GitHub
HuaizhengZhang/AI-Infra-from-Zero-to-Hero
GitHub MIT License๐ Awesome System for Machine Learning โก๏ธ AI System Papers and Industry Practice. โก๏ธ System for Machine Learning, LLM (Large Language Model), GenAI (Generative AI). ๐ป OSDI, NSDI, SIGCOMM, SoCC, MLSys, etc. ๐๏ธ Llama3, Mistral, etc. ๐งโ๐ป Video Tutorials.
External source
GitHub
brightmart/albert_zh
GitHub PythonA LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, ๆตท้ไธญๆ้ข่ฎญ็ปALBERTๆจกๅ
External source
GitHub
umlx5h/LLPlayer
GitHub C# GNU General Public License v3.0The media player for language learning, with dual subtitles, AI-generated subtitles, real-time translation, and more!
External source
GitHub
aadi1011/AI-ML-Roadmap-from-scratch
GitHub MIT LicenseBecome skilled in Artificial Intelligence, Machine Learning, Generative AI, Deep Learning, Data Science, Natural Language Processing, Reinforcement Learning and more with this complete 0 to 100 repository.
External source
GitHub
salmer/CppDeveloperRoadmap
GitHub OtherThe roadmap for learning the C++ programming language for beginners and experienced devs.
External source
GitHub
google-research/albert
GitHub Python Apache License 2.0ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
External source
GitHub
jonyzhang2023/awesome-embodied-vla-va-vln
GitHubA curated list of state-of-the-art research in embodied AI, focusing on vision-language-action (VLA) models, vision-language navigation (VLN), and related multimodal learning approaches.
External source
GitHub
alibaba/ROLL
GitHub Python Apache License 2.0An Efficient and User-Friendly Scaling Library for Reinforcement Learning with Large Language Models
External source
GitHub
google/lisp-koans
GitHub Common Lisp Apache License 2.0Common Lisp Koans is a language learning exercise in the same vein as the ruby koans, python koans and others. It is a port of the prior koans with some modifications to highlight lisp-specific features. Structured as ordered groups of broken unit tests, the project guides the learner progress... Read more
External source
GitHub
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