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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:PrefectHQ Prefect Dbt Model Orchestration
- Workflow:Cypress io Cypress Component Test Execution
- Workflow:Huggingface Trl Direct Preference Optimization
- Workflow:Online ml River Binary Classification Pipeline
- Workflow:Unslothai Unsloth Vision Model Finetuning
- Workflow:NVIDIA NeMo Aligner Reward Model Training
- Workflow:Apache Airflow Core Release Process
- Workflow:Huggingface Datatrove Common Crawl Processing
- Workflow:SqueezeAILab ETS Answer Evaluation Pipeline
- Workflow:Huggingface Diffusers Checkpoint Conversion
Principles
- Principle:Confident ai Deepeval Span Level Test Cases
- Principle:Haifengl Smile File Data Loading
- Principle:Fastai Fastbook Backpropagation
- Principle:Axolotl ai cloud Axolotl Training Performance Profiling
- Principle:Alibaba MNN Compression Tool Setup
- Principle:Langfuse Langfuse OTel Input Output Extraction
- Principle:Langchain ai Langchain Streaming Routing
- Principle:Ggml org Llama cpp Sampling
- Principle:OpenGVLab InternVL Weighted Multi Dataset Training
- Principle:Scikit learn Scikit learn Feature Transformation
Implementations
- Implementation:CrewAIInc CrewAI CSV Search Tool
- Implementation:Recommenders team Recommenders Standard VAE
- Implementation:Apache Flink RecordAndPosition
- Implementation:Princeton nlp Tree of thought llm Prompt Templates
- Implementation:Tensorflow Serving PrometheusExporter GeneratePage
- Implementation:Openai Openai python Response Compaction Item Param
- Implementation:Langchain ai Langchain BaseChatModel Invoke With Tools
- Implementation:Openai Openai node Eval Run OutputItems
- Implementation:Interpretml Interpret DataSetInteraction Hpp
- Implementation:Microsoft DeepSpeedExamples SQuAD Baseline Training
Heuristics
- Heuristic:Princeton nlp Tree of thought llm Functools Partial Model Binding
- Heuristic:OWASP Www project top 10 for large language model applications SHA Pinning For GitHub Actions
- Heuristic:PacktPublishing LLM Engineers Handbook Dataset Generation Quality Filters
- Heuristic:Vespa engine Vespa Maven Parallel Build Optimization
- Heuristic:Openclaw Openclaw Warning Suppression For Known Deprecations
- Heuristic:Protectai Modelscan Exit Code Conventions
- Heuristic:Openai Openai node Warning Deprecated Assistants API
- Heuristic:Axolotl ai cloud Axolotl Attention Mechanism Selection
- Heuristic:Princeton nlp SimPO Dropout Disabling
- Heuristic:Fastai Fastbook Mixup Data Augmentation
Environments
- Environment:Apache Kafka Docker Build Environment
- Environment:Microsoft DeepSpeedExamples ZeRO Inference Runtime
- Environment:Princeton nlp SimPO CUDA Training
- Environment:Apache Kafka JVM Runtime Environment
- Environment:Microsoft LoRA NLG Eval External Tools
- Environment:Apache Dolphinscheduler Database Backend
- Environment:Alibaba MNN Python Export Environment
- Environment:Pytorch Serve CUDA GPU Environment
- Environment:Langchain ai Langgraph Python Runtime Environment
- Environment:PrefectHQ Prefect Python Runtime Environment