big-data-ai
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homemade-machine-learning
homemade-machine-learning PublicForked from trekhleb/homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Jupyter Notebook
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LeetCodeAnimation
LeetCodeAnimation PublicForked from MisterBooo/LeetCodeAnimation
Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）
C++
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practicalAI
practicalAI PublicForked from GokuMohandas/Made-With-ML
📚A practical approach to learning machine learning.
Jupyter Notebook
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nlp_course
nlp_course PublicForked from yandexdataschool/nlp_course
YSDA course in Natural Language Processing
Jupyter Notebook
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High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.
- taste-skill Public Forked from Leonxlnx/taste-skill
Taste-Skill - gives your AI good taste. stops the AI from generating boring, generic slop
- OpenMythos Public Forked from kyegomez/OpenMythos
A theoretical reconstruction of the Claude Mythos architecture, built from first principles using the available research literature.
- fastllm Public Forked from ztxz16/fastllm
fastllm是后端无依赖的高性能大模型推理库。同时支持张量并行推理稠密模型和混合模式推理MOE模型，任意10G以上显卡即可推理满血DeepSeek。双路9004/9005服务器+单显卡部署DeepSeek满血满精度原版模型，单并发20tps；INT4量化模型单并发30tps，多并发可达60+。
- Agent-Skills-for-Context-Engineering Public Forked from muratcankoylan/Agent-Skills-for-Context-Engineering
A comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems. Use when building, optimizing, or debugging agent systems that require effective context management.
- developer-roadmap Public Forked from nilbuild/developer-roadmap
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
- tensorzero Public Forked from tensorzero/tensorzero
TensorZero is an open-source stack for industrial-grade LLM applications. It unifies an LLM gateway, observability, optimization, evaluation, and experimentation.
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