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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:Open compass VLMEvalKit API Model Evaluation
- Workflow:Farama Foundation Gymnasium Agent Evaluation Recording
- Workflow:Triton inference server Server LLM Deployment With TRT LLM
- Workflow:CrewAIInc CrewAI Sequential Crew Execution
- Workflow:Ollama Ollama Model Pull And Run
- Workflow:Openai Whisper Word Level Timestamps
- Workflow:Isaac sim IsaacGymEnvs Custom Task Development
- Workflow:Fastai Fastbook Tabular Modeling
- Workflow:Nightwatchjs Nightwatch Custom Commands And Assertions
- Workflow:DataTalksClub Data engineering zoomcamp dbt Analytics Transformation
Principles
- Principle:TobikoData Sqlmesh Backfill Strategy Selection
- Principle:Marker Inc Korea AutoRAG Trial Summary And Dashboard
- Principle:NVIDIA DALI Execution Mode Selection
- Principle:Protectai Llm guard Toxicity Detection
- Principle:Haosulab ManiSkill IL Policy Evaluation
- Principle:Puppeteer Puppeteer Browser Version Resolution
- Principle:Huggingface Trl SFT Argument Configuration
- Principle:Princeton nlp Tree of thought llm Task Interface Design
- Principle:Guardrails ai Guardrails Dev Server Launch
- Principle:Roboflow Rf detr Training Loop Execution
Implementations
- Implementation:Google deepmind Mujoco Engine IO Header
- Implementation:Treeverse LakeFS Java SDK Model CommitCreation
- Implementation:LMCache LMCache LMCacheEngine Retrieve
- Implementation:Anthropics Anthropic sdk python BetaToolComputerUse 20251124
- Implementation:Mage ai Mage ai Google Search Console Streams
- Implementation:TobikoData Sqlmesh Generate Test
- Implementation:LLMBook zh LLMBook zh github io GPTQConfig Quantization
- Implementation:Huggingface Diffusers Save Pretrained Quantized
- Implementation:Pola rs Polars DataFrame Write and Convert
- Implementation:Microsoft LoRA Run PLM
Heuristics
- Heuristic:Mlfoundations Open flamingo KV Cache Classification Optimization
- Heuristic:Ggml org Llama cpp Warning Deprecated Legacy Converters
- Heuristic:Fede1024 Rust rdkafka Main Queue Poll Interval
- Heuristic:Puppeteer Puppeteer Mac Silicon Performance
- Heuristic:Interpretml Interpret Categorical Float Conversion Gotcha
- Heuristic:Apache Beam GC Thrashing Detection
- Heuristic:Dagster io Dagster Lazy Import Pattern
- Heuristic:Langfuse Langfuse Eval Loop Prevention
- Heuristic:NVIDIA NeMo Aligner Adam State Offloading Tip
- Heuristic:Zai org CogVideo Frame Count and Resolution Constraints
Environments
- Environment:Unstructured IO Unstructured PDF Dependencies
- Environment:Sgl project Sglang Distributed
- Environment:VainF Torch Pruning CUDA GPU Benchmarking
- Environment:Kserve Kserve SRIOV RDMA Network
- Environment:Promptfoo Promptfoo SQLite Database
- Environment:Kornia Kornia PyTorch Python Environment
- Environment:Huggingface Datasets Audio Video Dependencies
- Environment:Norrrrrrr lyn WAInjectBench External Repos Dependencies
- Environment:Microsoft LoRA NLU Conda Environment
- Environment:Dagster io Dagster Python 3 10 Runtime