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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:Apache Hudi Flink Batch Incremental Read
- Workflow:VainF Torch Pruning Sparse Training Pruning
- Workflow:Openai Openai python Fine Tuning Job Management
- Workflow:NVIDIA NeMo Curator Text Curation Pipeline
- Workflow:Gretelai Gretel synthetics ACTGAN Tabular Synthesis
- Workflow:Mlc ai Web llm Web Worker Deployment
- Workflow:Lakeraai Pint benchmark Hugging Face Model Evaluation
- Workflow:Microsoft Agent framework Graph Based Workflow Execution
- Workflow:Cleanlab Cleanlab Object Detection Label Quality
- Workflow:Mlc ai Mlc llm Disaggregated Serving
Principles
- Principle:Haifengl Smile Matrix Decomposition
- Principle:Online ml River Streaming Statistics
- Principle:Interpretml Interpret Feature Binning And Discretization
- Principle:Volcengine Verl Reward Model Scoring
- Principle:OpenHands OpenHands Conversation Initiation
- Principle:SeldonIO Seldon core Pipeline Conditional Routing
- Principle:Guardrails ai Guardrails Validation Outcome Handling
- Principle:Mlc ai Mlc llm Compiled Artifact Validation
- Principle:Pytorch Serve Instance Segmentation
- Principle:DistrictDataLabs Yellowbrick Precision Recall Analysis
Implementations
- Implementation:Intel Ipex llm Transformers Trainer LoRA
- Implementation:Scikit learn Scikit learn CV Results Attributes
- Implementation:OpenRLHF OpenRLHF DeepspeedStrategy save model
- Implementation:CrewAIInc CrewAI Create Crew CLI
- Implementation:Puppeteer Puppeteer Target
- Implementation:Online ml River Optim Schedulers
- Implementation:NVIDIA DALI Fn Readers File
- Implementation:Rapidsai Cuml Traversal Forest
- Implementation:Vllm project Vllm Test AMD Pipeline Config
- Implementation:Lakeraai Pint benchmark HuggingFaceModelEvaluation Init
Heuristics
- Heuristic:Deepset ai Haystack Pipeline Deep Copy Safety
- Heuristic:Huggingface Datasets Batch Size Optimization
- Heuristic:Vespa engine Vespa RPM Zstd Compression Settings
- Heuristic:Helicone Helicone Tiered Pricing Threshold Matching
- Heuristic:Explodinggradients Ragas Deprecation Migration Guide
- Heuristic:Triton inference server Server Model Instance Scaling
- Heuristic:PacktPublishing LLM Engineers Handbook Chunking Strategy By Content Type
- Heuristic:Lm sys FastChat Conversation Splitting Token Buffer
- Heuristic:Neuml Txtai Model Quantization Defaults
- Heuristic:Puppeteer Puppeteer Timeout Hierarchy
Environments
- Environment:OpenBMB UltraFeedback vLLM Multi GPU Environment
- Environment:Webdriverio Webdriverio Cloud Service Credentials
- Environment:OpenRLHF OpenRLHF Flash Attention Environment
- Environment:Huggingface Trl vLLM Generation Environment
- Environment:Vespa engine Vespa Docker OCI Container Runtime
- Environment:Mlfoundations Open flamingo PyTorch CUDA Distributed
- Environment:ARISE Initiative Robomimic HuggingFace Hub Dependencies
- Environment:Ggml org Llama cpp CMake Build Environment
- Environment:Huggingface Alignment handbook PyTorch CUDA
- Environment:ChenghaoMou Text dedup Python 3 12 Environment