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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:Mlflow Mlflow Model Logging and Registry
- Workflow:Promptfoo Promptfoo LLM Evaluation
- Workflow:Ray project Ray Remote Task Execution
- Workflow:Apache Kafka Broker Startup
- Workflow:Mlfoundations Open flamingo Few Shot Evaluation
- Workflow:Astronomer Astronomer cosmos Kubernetes dbt execution
- Workflow:Evidentlyai Evidently ML Model Quality Report
- Workflow:Farama Foundation Gymnasium Custom Environment Creation
- Workflow:Helicone Helicone Integrate Provider To Gateway
- Workflow:Openai Openai agents python Basic Agent Execution
Principles
- Principle:Vespa engine Vespa Control File Initialization
- Principle:Alibaba ROLL Qwen3 Omni Multimodal Model
- Principle:Mlc ai Mlc llm Weight Conversion and Quantization
- Principle:Bentoml BentoML Container Image Building
- Principle:Ollama Ollama Response Streaming
- Principle:LLMBook zh LLMBook zh github io Mixture of Experts Routing
- Principle:Apache Kafka Coordinator State Loading
- Principle:Ggml org Ggml Neural Network Graph Building
- Principle:Sdv dev SDV Metadata Migration
- Principle:OpenGVLab InternVL LoRA Adapter Merging
Implementations
- Implementation:CrewAIInc CrewAI RAG Core
- Implementation:Intel Ipex llm LangChain RAG Chain
- Implementation:OpenGVLab InternVL MPT Attention
- Implementation:NVIDIA TransformerEngine PyTorch Ext Normalization
- Implementation:Vllm project Vllm Marlin Dequant
- Implementation:Cohere ai Cohere python EmbedFloatsResponse Model
- Implementation:Huggingface Datatrove TrackJobs
- Implementation:Scikit learn Scikit learn HuberRegressor
- Implementation:FlowiseAI Flowise AnalyseFlow
- Implementation:Google deepmind Mujoco mj loadXML
Heuristics
- Heuristic:ARISE Initiative Robosuite Numba BSOD Workaround
- Heuristic:Scikit learn contrib Imbalanced learn Sampling Before Split Leakage
- Heuristic:Unstructured IO Unstructured Chunk Size Tuning
- Heuristic:Pyro ppl Pyro Enumeration Plate Nesting
- Heuristic:Lakeraai Pint benchmark Optimal Configuration Selection
- Heuristic:Spcl Graph of thoughts Four Bit Quantization For Local LLMs
- Heuristic:Langgenius Dify Celery Queue Separation
- Heuristic:DistrictDataLabs Yellowbrick Elbow Knee Detection Sensitivity
- Heuristic:Open compass VLMEvalKit SKIP ERR For Graceful Inference
- Heuristic:Langfuse Langfuse LLM Rate Limit 24h Abandon
Environments
- Environment:OWASP Www project top 10 for large language model applications GenAI Red Team Environment
- Environment:Lm sys FastChat LoRA QLoRA Training Environment
- Environment:Protectai Modelscan TensorFlow Optional
- Environment:NVIDIA NeMo Curator NVIDIA DALI
- Environment:Haosulab ManiSkill GPU CUDA Simulation
- Environment:Microsoft Playwright Platform Support Environment
- Environment:Apache Flink Java Build Environment
- Environment:Astronomer Astronomer cosmos Python Airflow Runtime
- Environment:Mlc ai Web llm Chrome Extension Manifest V3
- Environment:BerriAI Litellm Python Runtime