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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:Datahub project Datahub Docker Quickstart Deployment
- Workflow:PrefectHQ Prefect Web Scraping Pipeline
- Workflow:Sktime Pytorch forecasting TFT Hyperparameter Optimization
- Workflow:NVIDIA NeMo Aligner Supervised Fine Tuning
- Workflow:Datahub project Datahub Java SDK V2 Entity Management
- Workflow:Unslothai Unsloth QLoRA SFT Finetuning
- Workflow:Lucidrains X transformers Autoregressive Language Modeling
- Workflow:Diagram of thought Diagram of thought DoT Iterative Reasoning
- Workflow:InternLM Lmdeploy W8A8 SmoothQuant Quantization
- Workflow:Microsoft Onnxruntime ORTModule Training
Principles
- Principle:Puppeteer Puppeteer Page Navigation
- Principle:Apache Shardingsphere Refresh Need Determination
- Principle:Tensorflow Serving Retry With Backoff
- Principle:Haifengl Smile Data Transformation
- Principle:ARISE Initiative Robosuite Demonstration Trajectory Collection
- Principle:Duckdb Duckdb CMake Build Configuration
- Principle:Arize ai Phoenix Batch Span Annotation
- Principle:Langfuse Langfuse Data Streaming from ClickHouse
- Principle:AUTOMATIC1111 Stable diffusion webui UI Visual Feedback
- Principle:Langchain ai Langchain Structured Output Extraction
Implementations
- Implementation:Lance format Lance Java InvertedIndexParams
- Implementation:Datajuicer Data juicer CleanIpMapper
- Implementation:Openai Openai python Shared Params Comparison Filter
- Implementation:BerriAI Litellm Cache Key Generator
- Implementation:Google deepmind Mujoco mj saveModel
- Implementation:Neuml Txtai SparseVectors Base
- Implementation:Run llama Llama index Query Engine Query
- Implementation:Rapidsai Cuml Classification Metrics
- Implementation:Ucbepic Docetl TutorialsDialog
- Implementation:Microsoft Autogen AssistantAgent On Messages Stream
Heuristics
- Heuristic:Princeton nlp Tree of thought llm Global State Token Counting
- Heuristic:BerriAI Litellm SSL Cipher Optimization
- Heuristic:Huggingface Peft LoRA Initialization Strategy Selection
- Heuristic:Cypress io Cypress V8 Snapshot Memory
- Heuristic:NVIDIA DALI Thread Affinity Optimization
- Heuristic:Langchain ai Langchain Retry Scope Best Practice
- Heuristic:Volcengine Verl FSDP Mixed Precision Init
- Heuristic:Kubeflow Pipelines Cache Staleness In Recursive Pipelines
- Heuristic:Dotnet Machinelearning Sparsity Threshold Optimization
- Heuristic:Axolotl ai cloud Axolotl Memory Optimization Tips
Environments
- Environment:Vllm project Vllm Intel XPU
- Environment:AUTOMATIC1111 Stable diffusion webui Python And PyTorch Runtime
- Environment:Trailofbits Fickling PyTorch
- Environment:Apache Kafka JVM Runtime Environment
- Environment:Allenai Open instruct CUDA GPU Training
- Environment:ARISE Initiative Robosuite MuJoCo Python
- Environment:Openai Openai agents python MCP Dependencies
- Environment:Hiyouga LLaMA Factory Core Python GPU Environment
- Environment:LLMBook zh LLMBook zh github io PyTorch CUDA GPU Environment
- Environment:Vespa engine Vespa FNET Transport Config