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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:OWASP Www project top 10 for large language model applications Agentic Security Assessment
- Workflow:Dotnet Machinelearning Text Classification
- Workflow:Unstructured IO Unstructured Connector Ingest Pipeline
- Workflow:Confident ai Deepeval Component Level LLM Evaluation
- Workflow:Apache Druid Streaming Ingestion Management
- Workflow:Lm sys FastChat LoRA QLoRA Finetuning
- Workflow:OWASP Www project top 10 for large language model applications GenAI Red Team Testing
- Workflow:Vllm project Vllm Speculative Decoding
- Workflow:NVIDIA NeMo Curator Image Curation Pipeline
- Workflow:PeterL1n BackgroundMattingV2 Realtime webcam matting
Principles
- Principle:Haifengl Smile SQL Data Ingestion
- Principle:Huggingface Transformers Trainer Initialization
- Principle:Protectai Modelscan Scanner Plugin Architecture
- Principle:Ollama Ollama OpenAI Response Translation
- Principle:Kserve Kserve InferenceService Specification
- Principle:Axolotl ai cloud Axolotl FSDP Weight Consolidation
- Principle:Helicone Helicone Marketing Attribution
- Principle:Lm sys FastChat FSDP Safe Model Saving
- Principle:Langchain ai Langchain Tool Execution
- Principle:Datahub project Datahub Metadata Emission
Implementations
- Implementation:Facebookresearch Habitat lab Timing
- Implementation:Kornia Kornia SmallSR
- Implementation:Turboderp org Exllamav2 Ext QAttn H
- Implementation:Openai Openai agents python RunContextWrapper
- Implementation:NVIDIA TransformerEngine JAX XLA Quantization
- Implementation:Interpretml Interpret LogLossMulticlassObjective
- Implementation:Langchain ai Langchain PyPI Trusted Publishing Test
- Implementation:Kornia Kornia AugmentationSequential
- Implementation:Risingwavelabs Risingwave ReplicationStream
- Implementation:Helicone Helicone UseUpgradePlan
Heuristics
- Heuristic:ARISE Initiative Robomimic Rollout Horizon Selection
- Heuristic:Tencent Ncnn NMS Threshold Tuning
- Heuristic:Tencent Ncnn Lightmode Memory Optimization
- Heuristic:Openai Openai node Browser Safety Guard
- Heuristic:Zai org CogVideo Scheduler and Guidance Selection
- Heuristic:Ucbepic Docetl Reduce Parallel Fold Tuning
- Heuristic:Shiyu coder Kronos Two Stage Finetuning Strategy
- Heuristic:Microsoft Autogen Parallel Tool Call Safety
- Heuristic:Fede1024 Rust rdkafka Manual Offset Store Pattern
- Heuristic:Diagram of thought Diagram of thought Typed Records For Auditability
Environments
- Environment:Ollama Ollama CGo Runtime
- Environment:Truera Trulens OpenAI Provider Environment
- Environment:Treeverse LakeFS Go Runtime Environment
- Environment:Dotnet Machinelearning TorchSharp Environment
- Environment:Langfuse Langfuse Docker Infrastructure
- Environment:Scikit learn contrib Imbalanced learn Python Scikit learn
- Environment:Pyro ppl Pyro Python PyTorch Core
- Environment:Turboderp org Exllamav2 Build Toolchain
- Environment:Kserve Kserve Cert Manager
- Environment:Evidentlyai Evidently SQL Storage Environment