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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:TA Lib Ta lib python Installation And Setup
- Workflow:Apache Druid Batch Data Ingestion
- Workflow:TA Lib Ta lib python Basic Indicator Computation
- Workflow:SqueezeAILab ETS Answer Evaluation Pipeline
- Workflow:Open compass VLMEvalKit Image Benchmark Evaluation
- Workflow:Sgl project Sglang Online Serving With OpenAI API
- Workflow:OpenRLHF OpenRLHF SFT Training
- Workflow:MaterializeInc Materialize Upgrade Testing
- Workflow:Mlflow Mlflow Model Serving
- Workflow:Lucidrains X transformers DPO Preference Alignment
Principles
- Principle:Sdv dev SDV PAR Synthesis
- Principle:Kornia Kornia ONNX Export
- Principle:Microsoft LoRA Distributed LoRA Training
- Principle:Farama Foundation Gymnasium Generalized Advantage Estimation
- Principle:Google deepmind Mujoco Model Compilation
- Principle:Microsoft Playwright Analyze Test Execution
- Principle:Apache Dolphinscheduler Connection Parameter Definition
- Principle:Eventual Inc Daft Data Display
- Principle:Marker Inc Korea AutoRAG Best Config Extraction
- Principle:Ggml org Ggml Detection Post Processing
Implementations
- Implementation:Duckdb Duckdb Release Upload Scripts
- Implementation:Bentoml BentoML Models Push Pull
- Implementation:Langfuse Langfuse DatasetRunItemUpsertQueue
- Implementation:Apache Flink SourceReaderBase
- Implementation:Astronomer Astronomer cosmos Package Exports
- Implementation:Isaac sim IsaacGymEnvs Apply Randomizations
- Implementation:Huggingface Alignment handbook DPOTrainer APO Zero
- Implementation:Neuml Txtai Data Init
- Implementation:Run llama Llama index GraphStore Types
- Implementation:NVIDIA NeMo Aligner Train GPT KTO
Heuristics
- Heuristic:Arize ai Phoenix Environment Variable Precedence
- Heuristic:Apache Dolphinscheduler Load Balancer Strategy Selection
- Heuristic:Openai Openai node Browser Safety Guard
- Heuristic:Allenai Open instruct Warning Archived Dev Scripts
- Heuristic:Intel Ipex llm Use Cache Training Vs Inference
- Heuristic:Avdvg InjectGuard Dataset Coverage Recall Bound
- Heuristic:LMCache LMCache CacheGen Quantization Strategy
- Heuristic:Datahub project Datahub Validation Across All APIs
- Heuristic:Datahub project Datahub Secret Handling And Deprecation Patterns
- Heuristic:PeterL1n BackgroundMattingV2 ONNX Patch Method Compatibility
Environments
- Environment:Run llama Llama index Sentence Transformers Finetuning
- Environment:Gretelai Gretel synthetics PyTorch CUDA Environment
- Environment:Google deepmind Mujoco MJX JAX Environment
- Environment:Deepset ai Haystack Python Runtime Environment
- Environment:BerriAI Litellm Observability Stack
- Environment:ArroyoSystems Arroyo Rust Runtime
- Environment:PrefectHQ Prefect Prefect Server Database
- Environment:Allenai Open instruct vLLM Inference
- Environment:Evidentlyai Evidently Node Frontend Environment
- Environment:FlowiseAI Flowise Node Runtime Environment