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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:Apache Dolphinscheduler RPC Service Communication
- Workflow:PacktPublishing LLM Engineers Handbook RAG Inference
- Workflow:Dotnet Machinelearning Text Classification
- Workflow:Gretelai Gretel synthetics DataFrame Batch Synthesis
- Workflow:Confident ai Deepeval End to End LLM Evaluation
- Workflow:Onnx Onnx Model Validation
- Workflow:Openai Evals Running an eval set
- Workflow:SeldonIO Seldon core HuggingFace Model Serving
- Workflow:OWASP Www project top 10 for large language model applications Agentic Security Assessment
- Workflow:PrefectHQ Prefect Dbt Model Orchestration
Principles
- Principle:ARISE Initiative Robomimic Results Collection
- Principle:DistrictDataLabs Yellowbrick Classifier Visual Evaluation
- Principle:Huggingface Datasets Disk Persistence
- Principle:ClickHouse ClickHouse BFloat16 Type
- Principle:Haotian liu LLaVA Weight Delta Application
- Principle:Langchain ai Langchain Incremental Chunk Processing
- Principle:Confident ai Deepeval LLM Evaluation Metrics
- Principle:ArroyoSystems Arroyo Two Phase Commit
- Principle:Mbzuai oryx Awesome LLM Post training Progressive Data Checkpointing
- Principle:DevExpress Testcafe Instance Lifecycle Management
Implementations
- Implementation:OpenGVLab InternVL EvaCLIP Model
- Implementation:Liu00222 Open Prompt Injection create task
- Implementation:Interpretml Interpret Explain Global
- Implementation:Allenai Open instruct Submit Eval Jobs
- Implementation:Openai Openai python API Model Type
- Implementation:Trailofbits Fickling Check Safety
- Implementation:OpenRLHF OpenRLHF DPOTrainer
- Implementation:Evidentlyai Evidently Legacy Sentiment Feature
- Implementation:Apache Druid MeasureDialog
- Implementation:Explodinggradients Ragas AspectCritic Metric
Heuristics
- Heuristic:Confident ai Deepeval Async Concurrency Tuning
- Heuristic:Huggingface Diffusers Guidance Scale Defaults
- Heuristic:DistrictDataLabs Yellowbrick Model Fitted State Detection
- Heuristic:Astronomer Astronomer cosmos Memory Optimised Imports
- Heuristic:ArroyoSystems Arroyo Async UDF Concurrency
- Heuristic:Nightwatchjs Nightwatch ESM Module Loading Tips
- Heuristic:LaurentMazare Tch rs MPS Weight Loading Workaround
- Heuristic:ContextualAI HALOs LoRA Merge At Save
- Heuristic:Fastai Fastbook Random Forest Defaults
- Heuristic:Spotify Luigi Batch Parameter Aggregation
Environments
- Environment:Huggingface Datatrove S3 Storage Environment
- Environment:Axolotl ai cloud Axolotl Python Runtime
- Environment:Apache Spark Release Build Environment
- Environment:Volcengine Verl Megatron Core Environment
- Environment:Truera Trulens Streamlit Dashboard Environment
- Environment:Princeton nlp SimPO VLLM Inference
- Environment:Nautechsystems Nautilus trader Binance API Credentials
- Environment:Triton inference server Server Docker Container Build
- Environment:Apache Hudi Docker Demo Environment
- Environment:OWASP Www project top 10 for large language model applications PR Description Generator Runtime