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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:NVIDIA DALI Object Detection Training TensorFlow
- Workflow:Sgl project Sglang Structured Output Generation
- Workflow:CarperAI Trlx ILQL Offline Training
- Workflow:Apache Paimon Data Ingestion With Ray Sink
- Workflow:ContextualAI HALOs Online Iterative Alignment
- Workflow:Turboderp org Exllamav2 Multimodal Vision Inference
- Workflow:Huggingface Datatrove FineWeb Dataset Creation
- Workflow:Deepseek ai Janus Multimodal Understanding
- Workflow:Spotify Luigi Hadoop MapReduce Pipeline
- Workflow:Googleapis Python genai Multi Turn Chat
Principles
- Principle:NVIDIA NeMo Curator KMeans Clustering for Embeddings
- Principle:Bitsandbytes foundation Bitsandbytes 8bit Optimizer State Quantization
- Principle:Cohere ai Cohere python SDK Authentication
- Principle:Openai Evals Chain of Thought Prompting
- Principle:Google deepmind Mujoco Rendering Resource Cleanup
- Principle:Scikit learn contrib Imbalanced learn Sampler Aware Pipeline
- Principle:Online ml River Online Ensemble Methods
- Principle:Webdriverio Webdriverio Performance Reporting
- Principle:Mage ai Mage ai Destination State Checkpointing
- Principle:Tencent Ncnn Calibration Table Generation
Implementations
- Implementation:Huggingface Transformers Add Dates
- Implementation:Iterative Dvc Push Fetch
- Implementation:Huggingface Optimum Pipeline Factory
- Implementation:Treeverse LakeFS Java SDK InternalApi
- Implementation:FlowiseAI Flowise AddCustomAssistantDialog
- Implementation:Ray project Ray UnreconstructableException
- Implementation:Facebookresearch Habitat lab SimpleCNN
- Implementation:Elevenlabs Elevenlabs python GetKnowledgeBaseSummaryTextResponseModel
- Implementation:Fastai Fastbook DataBlock
- Implementation:Huggingface Optimum ParallelAxisSolverPass Run
Heuristics
- Heuristic:VainF Torch Pruning Over Pruning Prevention
- Heuristic:Ollama Ollama Sampling Numerical Stability
- Heuristic:Obss Sahi Warning Deprecated Legacy NMS
- Heuristic:Apache Dolphinscheduler JDBC Security Blocklist
- Heuristic:Confident ai Deepeval Timeout and Retry Tuning
- Heuristic:Huggingface Open r1 Distributed Training Configuration
- Heuristic:Explodinggradients Ragas Failed Metrics Return NaN
- Heuristic:Vespa engine Vespa Document Batch Processing Strategy
- Heuristic:FlagOpen FlagEmbedding Same Dataset Batching Tip
- Heuristic:MarketSquare Robotframework browser Windows Shell NPM Workaround
Environments
- Environment:Marker Inc Korea AutoRAG API Keys And Credentials
- Environment:Vespa engine Vespa Cosign Sigstore Signing
- Environment:VainF Torch Pruning CUDA GPU Benchmarking
- Environment:Neuml Txtai Python Core Dependencies
- Environment:PacktPublishing LLM Engineers Handbook AWS SageMaker GPU Environment
- Environment:Fede1024 Rust rdkafka Kafka Broker Runtime
- Environment:Guardrails ai Guardrails LLM Provider API Keys
- Environment:SeldonIO Seldon core Docker Compose Local Environment
- Environment:Pyro ppl Pyro CUDA GPU Acceleration
- Environment:Marker Inc Korea AutoRAG Python 3 10 Runtime