stas00/ml-engineering

• Platinum I

A straightforward method for training your LLM, from downloading data to generating text.

• 1,744+3 Elo, change today
• 13.2k stars
• 1.8k forks
• 93 watchers
• 1mo ago

git clone https://github.com/FareedKhan-dev/train-llm-from-scratch.git

• gemini
• large-language-models
• llm
• openai

• Silver III

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

• 1,470−5 Elo, change today
• 11k stars
• 1.1k forks
• 1d ago

git clone https://github.com/kedro-org/kedro.git

• agentic-ai
• agentic-workflow
• data-pipelines
• hacktoberfest

• Bronze III

Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, DeepSeek, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL, MiniCPM-V, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discrete GPU such as Arc, Flex and Max); seamlessly integrate with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, vLLM, DeepSpeed, Axolotl, etc.

• 1,398−4 Elo, change today
• 8.8k stars
• 1.4k forks
• 9mo ago
• archived

git clone https://github.com/intel/ipex-llm.git

• gpu
• llm
• pytorch
• transformers

• Gold III

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

• 1,573+5 Elo, change today
• 11k stars
• 6.9k forks
• 1mo ago

git clone https://github.com/aws/amazon-sagemaker-examples.git

• aws
• data-science
• deep-learning
• examples

• Emerald III

Nano vLLM

• 1,816−7 Elo, change today
• 16.4k stars
• 2.8k forks
• 86 watchers
• 6mo ago

git clone https://github.com/GeeeekExplorer/nano-vllm.git

• deep-learning
• inference
• llm
• nlp

• Copper II

A series of large language models trained from scratch by developers @01-ai

• 1,331+11 Elo, change today
• 7.8k stars
• 500 forks
• 1y ago

git clone https://github.com/01-ai/Yi.git

• large-language-models