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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:Huggingface Alignment handbook Multi Stage Post Training
- Workflow:PrefectHQ Prefect Database Cleanup With Approval
- Workflow:Helicone Helicone Integrate Provider To Gateway
- Workflow:DataExpert io Data engineer handbook Flink Kafka Streaming Pipeline
- Workflow:Langchain ai Langchain Release Process
- Workflow:Astronomer Astronomer cosmos Dbt docs generation
- Workflow:Microsoft Semantic kernel Process Orchestration
- Workflow:NVIDIA TransformerEngine FP8 Training Quickstart
- Workflow:Datajuicer Data juicer Distributed Ray Processing
- Workflow:Haifengl Smile Matrix Decomposition Pipeline
Principles
- Principle:Explodinggradients Ragas Human Annotation Collection
- Principle:Huggingface Transformers Benchmark Orchestration V1
- Principle:Zai org CogVideo I2V Pipeline Loading
- Principle:ARISE Initiative Robosuite Joint Position Control
- Principle:Cleanlab Cleanlab Synthetic Noise Generation
- Principle:Unslothai Unsloth Model Merging And Saving
- Principle:Evidentlyai Evidently Snapshot Export
- Principle:FlowiseAI Flowise Tool Management
- Principle:Eric mitchell Direct preference optimization Tokenization
- Principle:Dagster io Dagster ML Model Lifecycle
Implementations
- Implementation:Webdriverio Webdriverio CommandFactory
- Implementation:ARISE Initiative Robosuite MjcfUtils
- Implementation:Alibaba ROLL Agentic ActorWorker Loss Func
- Implementation:ClickHouse ClickHouse Hex Encoding
- Implementation:AnswerDotAI RAGatouille RAGTrainer Init
- Implementation:TobikoData Sqlmesh ColumnLevelLineageContext
- Implementation:Pyro ppl Pyro Gaussian
- Implementation:CarperAI Trlx Convert LLaMA To NeMo
- Implementation:Sktime Pytorch forecasting QuantileLoss
- Implementation:TobikoData Sqlmesh Models Page
Heuristics
- Heuristic:Apache Dolphinscheduler JDBC Security Blocklist
- Heuristic:DataExpert io Data engineer handbook Watermark Late Arrival Tolerance
- Heuristic:Roboflow Rf detr Layer Wise LR Decay
- Heuristic:Farama Foundation Gymnasium Action Space Normalization Tip
- Heuristic:Kornia Kornia CPU GPU Branching Tip
- Heuristic:Haosulab ManiSkill GPU Memory Buffer Tuning
- Heuristic:CrewAIInc CrewAI MCP Timeout And Retry Strategy
- Heuristic:Tensorflow Serving Model Warmup Strategy
- Heuristic:Microsoft BIPIA BF16 Compute Capability Check
- Heuristic:PrefectHQ Prefect Concurrency Limit Scoping
Environments
- Environment:Langgenius Dify Node Frontend Environment
- Environment:Allenai Open instruct CUDA GPU Training
- Environment:Eventual Inc Daft Ray Distributed Runner
- Environment:Mistralai Client python Python SDK Environment
- Environment:Lm sys FastChat GPU CUDA Inference
- Environment:Tensorflow Tfjs Browser Runtime
- Environment:Vespa engine Vespa Cosign Sigstore Signing
- Environment:Zai org CogVideo Video Captioning Environment
- Environment:ARISE Initiative Robosuite GPU Rendering
- Environment:Lm sys FastChat SFT Training Environment