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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 |
Explore Pages
Workflows
- Workflow:Scikit learn Scikit learn Hyperparameter Tuning
- Workflow:PacktPublishing LLM Engineers Handbook Feature Engineering
- Workflow:HKUDS AI Trader Multi Agent Comparison
- Workflow:Teamcapybara Capybara Custom Selector Definition
- Workflow:Haotian liu LLaVA LoRA Finetuning
- Workflow:Apache Beam Twister2 Batch Execution
- Workflow:Testtimescaling Testtimescaling github io GitHub Pages Course Progression
- Workflow:Langchain ai Langchain Adding Partner Integration
- Workflow:TA Lib Ta lib python Streaming Indicator Computation
- Workflow:Deepset ai Haystack Document Preprocessing Pipeline
Principles
- Principle:Deepspeedai DeepSpeed PPO Policy Update
- Principle:ArroyoSystems Arroyo Schema Definition
- Principle:Apache Dolphinscheduler RPC Client Proxy Pattern
- Principle:Heibaiying BigData Notes Hive Database Creation
- Principle:Obss Sahi COCO Error Analysis
- Principle:Pytorch Serve Inference Pipeline
- Principle:Astronomer Astronomer cosmos DAG Rendering
- Principle:Nautechsystems Nautilus trader Execution Reconciliation
- Principle:Huggingface Datatrove Duplicate Removal
- Principle:Danijar Dreamerv3 Agent Initialization
Implementations
- Implementation:Apache Druid Licenses Registry
- Implementation:ArroyoSystems Arroyo Nats Source
- Implementation:PacktPublishing LLM Engineers Handbook DatasetGenerator Generate
- Implementation:Dotnet Machinelearning LdaHybridMap
- Implementation:Datahub project Datahub MetadataChangeProposalWrapper Builder
- Implementation:EvolvingLMMs Lab Lmms eval LLM Judge Utils
- Implementation:InternLM Lmdeploy AttentionCtaMap
- Implementation:Hiyouga LLaMA Factory Chat Template
- Implementation:Lm sys FastChat Build Single Model Vision UI
- Implementation:Getgauge Taiko DropDown Element
Heuristics
- Heuristic:Microsoft Agent framework Silent Workflow Failures
- Heuristic:Langgenius Dify Celery Queue Separation
- Heuristic:Vespa engine Vespa KStemmer Dictionary Loading
- Heuristic:Facebookresearch Habitat lab Mini Batch Environment Divisibility
- Heuristic:Apache Airflow Scheduler Performance Tuning
- Heuristic:Apache Kafka Log4j Migration Compatibility
- Heuristic:Ggml org Ggml Memory Allocation Strategy
- Heuristic:MaterializeInc Materialize Pipeline Test Trimming Rules
- Heuristic:Explodinggradients Ragas Retry And Backoff Configuration
- Heuristic:Risingwavelabs Risingwave LSM Compaction Tuning
Environments
- Environment:Pytorch Serve vLLM Engine Environment
- Environment:Openclaw Openclaw Docker Deployment Environment
- Environment:Vllm project Vllm CUDA Hopper
- Environment:Openai Openai agents python Memory Extensions Dependencies
- Environment:Evidentlyai Evidently LLM Evaluation Environment
- Environment:Microsoft Autogen Studio Server Environment
- Environment:Mlc ai Mlc llm OpenCL Android Environment
- Environment:Arize ai Phoenix Python Runtime
- Environment:Marker Inc Korea AutoRAG Japanese NLP Dependencies
- Environment:NVIDIA NeMo Aligner TensorRT LLM Acceleration Environment