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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:Apache Spark Standalone Cluster Deployment
- Workflow:ARISE Initiative Robomimic Dataset Preparation Pipeline
- Workflow:Apache Paimon Blob Storage With Descriptors
- Workflow:Treeverse LakeFS Write Audit Publish With Hooks
- Workflow:Nightwatchjs Nightwatch Cucumber BDD Integration
- Workflow:Openai Openai python Responses API Text Generation
- Workflow:Dotnet Machinelearning AutoML Experiment
- Workflow:Iterative Dvc Remote Data Sync
- Workflow:Apache Paimon Table Read Write
- Workflow:Ucbepic Docetl Playground Interactive Development
Principles
- Principle:AUTOMATIC1111 Stable diffusion webui Face restoration
- Principle:ChenghaoMou Text dedup False Positive Verification MinHash
- Principle:MarketSquare Robotframework browser Keyword Method Implementation
- Principle:Unstructured IO Unstructured OpenAI Embedding
- Principle:BerriAI Litellm Message Redaction
- Principle:Diagram of thought Diagram of thought Prompt Validation Testing
- Principle:Apache Flink Data Generation
- Principle:Evidentlyai Evidently Data Drift Detection
- Principle:EvolvingLMMs Lab Lmms eval HTTP API Model Serving
- Principle:Mistralai Client python GCP Chat And FIM
Implementations
- Implementation:Spotify Luigi PaiTask
- Implementation:OpenRLHF OpenRLHF Broadcast to vllm
- Implementation:Ollama Ollama Llama KV Cache ISWA
- Implementation:SeldonIO Seldon core Seldon Model Status
- Implementation:ARISE Initiative Robosuite InspireHands
- Implementation:Online ml River Preprocessing RandomProjection
- Implementation:Ggml org Llama cpp CLIP Impl
- Implementation:Ray project Ray Deploy Jars
- Implementation:Heibaiying BigData Notes Spark SQL View Registration
- Implementation:Kornia Kornia Charbonnier Loss
Heuristics
- Heuristic:Kubeflow Kubeflow Stale Issue Lifecycle Management
- Heuristic:Huggingface Datasets Cache Fingerprinting Tips
- Heuristic:NVIDIA NeMo Aligner DPO Sequence Packing Tips
- Heuristic:Googleapis Python genai API Retry Backoff Strategy
- Heuristic:LMCache LMCache Health Monitor Thresholds
- Heuristic:Open compass VLMEvalKit SKIP ERR For Graceful Inference
- Heuristic:Apache Druid Auto Granularity Selection
- Heuristic:Alibaba ROLL GPU Memory Offload Strategy
- Heuristic:Spotify Luigi Streaming MapReduce Processing
- Heuristic:Nautechsystems Nautilus trader Cache Buffer Interval Tuning
Environments
- Environment:Evidentlyai Evidently Python Core Environment
- Environment:Volcengine Verl CUDA GPU Environment
- Environment:Spotify Luigi Apache Spark
- Environment:Bitsandbytes foundation Bitsandbytes Build From Source Environment
- Environment:Microsoft Onnxruntime Windows Build Environment
- Environment:Apache Shardingsphere ZooKeeper Cluster Coordination
- Environment:Apache Kafka Gradle Build Environment
- Environment:Speechbrain Speechbrain Speech Enhancement Dependencies
- Environment:Ray project Ray Java Build Environment
- Environment:NVIDIA NeMo Aligner NeMo Framework GPU Environment