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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:Deepset ai Haystack Document Preprocessing Pipeline
- Workflow:Mlc ai Web llm Basic Chat Completion
- Workflow:Hiyouga LLaMA Factory DPO Preference Alignment
- Workflow:Microsoft Agent framework Agent With Tool Approval
- Workflow:Apache Beam Local Pipeline Execution
- Workflow:Fastai Fastbook Neural Network From Scratch
- Workflow:Langchain ai Langgraph Human in the Loop Agent
- Workflow:BerriAI Litellm Fine Tuning Job
- Workflow:Microsoft Playwright API testing
- Workflow:Junyanz Pytorch CycleGAN and pix2pix Pretrained Inference
Principles
- Principle:Isaac sim IsaacGymEnvs Core Simulation Methods
- Principle:DataTalksClub Data engineering zoomcamp Kafka Infrastructure Setup
- Principle:Hiyouga LLaMA Factory Dataset Format Conversion
- Principle:Cohere ai Cohere python Tool Schema Definition
- Principle:Openai Openai python Embedding Input Preparation
- Principle:Tensorflow Tfjs Layer Wrapping
- Principle:Tensorflow Tfjs Normalization Techniques
- Principle:Datahub project Datahub Protobuf Annotation
- Principle:FMInference FlexLLMGen Runtime Utility Functions
- Principle:EvolvingLMMs Lab Lmms eval Queue Monitoring
Implementations
- Implementation:PrefectHQ Prefect PrefectAgent Wrapper
- Implementation:InternLM Lmdeploy SamplingKernels
- Implementation:Mage ai Mage ai Google Analytics Source
- Implementation:CrewAIInc CrewAI Bedrock Invoke Agent Tool
- Implementation:Pyro ppl Pyro SineBivariateVonMises
- Implementation:CARLA simulator Carla MeshFactory
- Implementation:Apache Hudi HoodieSchemaCompatibility CheckSchemaCompatible
- Implementation:BerriAI Litellm Rerank API
- Implementation:Langchain ai Langchain Conversation Loop Pattern
- Implementation:Hiyouga LLaMA Factory V1 Logging
Heuristics
- Heuristic:Avdvg InjectGuard Dataset Coverage Recall Bound
- Heuristic:Obss Sahi Match Threshold Tuning
- Heuristic:Neuml Txtai Faiss Index Sizing Tip
- Heuristic:Treeverse LakeFS S3 Multipart Size Constraint
- Heuristic:Allenai Open instruct Pre Init Torch Distributed
- Heuristic:Tensorflow Serving Servable Handle Lifetime
- Heuristic:Tensorflow Serving Model Warmup Strategy
- Heuristic:Huggingface Diffusers LoRA Safe Fusing
- Heuristic:Tencent Ncnn FP16 Precision Selection
- Heuristic:CrewAIInc CrewAI RAG Search Defaults
Environments
- Environment:Pola rs Polars Python Runtime Environment
- Environment:Axolotl ai cloud Axolotl Multi GPU
- Environment:Tensorflow Serving Kubernetes Deployment Environment
- Environment:Tensorflow Serving Docker Runtime Environment
- Environment:Alibaba MNN HuggingFace Ecosystem Environment
- Environment:FlowiseAI Flowise Database Environment
- Environment:Mage ai Mage ai Singer SDK And Joblib Runtime
- Environment:Datajuicer Data juicer Python Runtime Environment
- Environment:Wandb Weave LLM Integration Dependencies
- Environment:Kornia Kornia PyTorch Python Environment