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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:Vibrantlabsai Ragas RAG Evaluation
- Workflow:TobikoData Sqlmesh Environment management
- Workflow:Apache Flink Stream File Compaction
- Workflow:Scikit learn Scikit learn Supervised Classification
- Workflow:Ggml org Ggml Model Conversion And Quantization
- Workflow:Treeverse LakeFS Data Version Control With Branches
- Workflow:Togethercomputer Together python Chat Completion
- Workflow:Triton inference server Server Ensemble Model Pipeline
- Workflow:Langchain ai Langgraph Human in the Loop Agent
- Workflow:Ray project Ray Serve Deployment
Principles
- Principle:Interpretml Interpret SHAP Kernel Explanation
- Principle:LLMBook zh LLMBook zh github io LLaMA Decoder Layer
- Principle:Langgenius Dify Segment Management
- Principle:Langgenius Dify ErrorHandling
- Principle:Neuml Txtai Training Arguments
- Principle:Apache Paimon Lance Distributed Analytics
- Principle:Pyro ppl Pyro Time Series Forecasting
- Principle:Neuml Txtai Workflow Composition
- Principle:Axolotl ai cloud Axolotl Package Build Configuration
- Principle:Nautechsystems Nautilus trader Hybrid Rust Cython Build
Implementations
- Implementation:MaterializeInc Materialize Trim Tests Pipeline
- Implementation:Ollama Ollama Imagegen Cache Step
- Implementation:Lm sys FastChat Split Long Conversation
- Implementation:Lance format Lance DataGenerator
- Implementation:Ollama Ollama Thinking Parser
- Implementation:Guardrails ai Guardrails Create Command Server
- Implementation:Ggml org Llama cpp Speculative Header
- Implementation:Mlc ai Mlc llm Debug Entrypoints
- Implementation:Tensorflow Tfjs Core Layers Test
- Implementation:Mage ai Mage ai Twitter Ads Streams
Heuristics
- Heuristic:EvolvingLMMs Lab Lmms eval Distributed Padding Strategy
- Heuristic:Fede1024 Rust rdkafka Transaction Error Recovery
- Heuristic:Testtimescaling Testtimescaling github io Skip CI Commit Tag
- Heuristic:FlowiseAI Flowise Heap Memory Configuration
- Heuristic:Axolotl ai cloud Axolotl Attention Mechanism Selection
- Heuristic:VainF Torch Pruning Channel Rounding Alignment
- Heuristic:Openai Evals Model Graded Eval Design
- Heuristic:Guardrails ai Guardrails RAIL Argument Parsing Security
- Heuristic:Openai Openai node Retry Backoff Configuration
- Heuristic:Langchain ai Langgraph Durability Mode Selection
Environments
- Environment:LLMBook zh LLMBook zh github io Bitsandbytes Quantization Environment
- Environment:Ggml org Llama cpp CMake Build Environment
- Environment:PacktPublishing LLM Engineers Handbook Unsloth Finetuning Environment
- Environment:DistrictDataLabs Yellowbrick Optional NLP Dependencies
- Environment:Tensorflow Serving Kubernetes Deployment Environment
- Environment:Langgenius Dify Credentials And Env Vars
- Environment:PacktPublishing LLM Engineers Handbook VLLM Evaluation Environment
- Environment:ARISE Initiative Robomimic HuggingFace Hub Dependencies
- Environment:InternLM Lmdeploy CUDA GPU Runtime
- Environment:Huggingface Transformers BitsAndBytes Quantization Env