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Your ML & Data Knowledge Wiki. Best practices and expert-level knowledge for Machine Learning and Data Engineering, covering 1000+ frameworks and libraries from training to deployment.
Browse implementation patterns, configuration guides, debugging heuristics, and battle-tested defaults for frameworks like vLLM, DeepSpeed, Megatron-LM, FlashAttention, Triton, Unsloth, LangChain, and many more. Every page is structured so both humans and AI agents can find what they need fast.
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| Category | Description | Browse |
|---|---|---|
| Workflows | Step-by-step processes and procedures | Browse All |
| Principles | Core ideas and foundational knowledge | Browse All |
| Implementations | Code-level details and modules | Browse All |
| Heuristics | Best practices and guidelines | Browse All |
| Environments | Setup and configuration guides | Browse All |
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Workflows
- Workflow:Allenai Open instruct DPO Preference Tuning
- Workflow:Googleapis Python genai Image Generation Pipeline
- Workflow:Googleapis Python genai Function Calling and Tools
- Workflow:Recommenders team Recommenders ALS Spark Recommendation
- Workflow:Allenai Open instruct GRPO Reinforcement Learning
- Workflow:Protectai Llm guard Scanner Benchmarking
- Workflow:OWASP Www project top 10 for large language model applications Vulnerability Entry Development
- Workflow:Alibaba MNN Python Model Inference
- Workflow:Mit han lab Llm awq HuggingFace Model Export
- Workflow:Apache Kafka Coordinator Runtime Lifecycle
Principles
- Principle:Helicone Helicone Marketing Attribution
- Principle:Mlflow Mlflow Protobuf Code Generation
- Principle:ARISE Initiative Robosuite MJCF Model Hierarchy
- Principle:Ollama Ollama GGUF Model Conversion Bert
- Principle:Unstructured IO Unstructured Section Aware Chunking
- Principle:PeterL1n BackgroundMattingV2 ONNX export
- Principle:Facebookresearch Habitat lab HRL Configuration Composition
- Principle:Haotian liu LLaVA Weight Delta Application
- Principle:ArroyoSystems Arroyo SQL Table Integration
- Principle:BerriAI Litellm Retry And Fallback
Implementations
- Implementation:Ray project Ray Buildkite Build Pipeline
- Implementation:BerriAI Litellm Fallback Utils
- Implementation:Tensorflow Serving Server BuildAndStart
- Implementation:Apache Spark Distribution Placement
- Implementation:Openai Openai node AzureOpenAI
- Implementation:SeleniumHQ Selenium Closure Testing Mock
- Implementation:Promptfoo Promptfoo Database Migration
- Implementation:Ggml org Llama cpp Android GgufMetadata
- Implementation:PeterL1n BackgroundMattingV2 Camera
- Implementation:Lance format Lance JNI FileReader
Heuristics
- Heuristic:Nightwatchjs Nightwatch Warning Deprecated API Members
- Heuristic:NVIDIA DALI NVJPEG Memory Preallocation
- Heuristic:Infiniflow Ragflow Embedding Batch Size Constraint
- Heuristic:Facebookresearch Habitat lab VER Tuning Guidelines
- Heuristic:Lucidrains X transformers Sampling Temperature Strategy
- Heuristic:Heibaiying BigData Notes HBase Connection Thread Safety Tip
- Heuristic:Apache Druid Auto Granularity Selection
- Heuristic:Bigscience workshop Petals KV Cache Sizing For Attention Types
- Heuristic:Microsoft BIPIA OpenAI Rate Limit Retry
- Heuristic:CarperAI Trlx Reward Model Layer Freezing
Environments
- Environment:Microsoft Agent framework Python 3 10 Runtime
- Environment:FlagOpen FlagEmbedding Finetuning Environment
- Environment:Openai Openai python Azure OpenAI
- Environment:Microsoft Onnxruntime Python Inference Environment
- Environment:ArroyoSystems Arroyo Object Storage
- Environment:Kserve Kserve Python Runtime
- Environment:Unslothai Unsloth CUDA VLLM
- Environment:Sgl project Sglang GitHub Actions
- Environment:Microsoft LoRA NLU Conda Environment
- Environment:Huggingface Transformers PEFT Adapter Env