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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 |
Explore Pages
Workflows
- Workflow:Helicone Helicone LLM Request Proxy Logging
- Workflow:Nightwatchjs Nightwatch Cucumber BDD Integration
- Workflow:Speechbrain Speechbrain Whisper ASR Finetuning
- Workflow:Microsoft Semantic kernel Plugin Integration And Function Calling
- Workflow:Unslothai Unsloth Model Export And Deployment
- Workflow:Microsoft Semantic kernel Agent Conversation And Orchestration
- Workflow:Turboderp org Exllamav2 Text Generation
- Workflow:Guardrails ai Guardrails Server Deployment
- Workflow:VainF Torch Pruning LLM Structural Pruning
- Workflow:Mlflow Mlflow LLM Tracing
Principles
- Principle:AUTOMATIC1111 Stable diffusion webui Latent Diffusion Pipeline
- Principle:Lance format Lance Row Deletion
- Principle:Groq Groq python Audio Transcription Request
- Principle:Microsoft Semantic kernel Chat Completion Agent Creation
- Principle:Pola rs Polars Data Output Validation
- Principle:Run llama Llama index Embedding Finetune Execution
- Principle:Apache Beam Transform Override Application
- Principle:Openai Openai node Schema To JSON Conversion
- Principle:Huggingface Alignment handbook Odds Ratio Preference Optimization
- Principle:Cypress io Cypress CI Parallelization
Implementations
- Implementation:FlowiseAI Flowise ServerLogsView
- Implementation:Ollama Ollama Imagegen CLI
- Implementation:Apache Paimon KeySerializer
- Implementation:Tensorflow Tfjs CPU Conv3D Kernel
- Implementation:Mage ai Mage ai GitHub Pull Requests Schema
- Implementation:Groq Groq python Translations Create
- Implementation:DistrictDataLabs Yellowbrick ROCAUC Visualizer
- Implementation:ArroyoSystems Arroyo Udf Common Types
- Implementation:Open compass VLMEvalKit MMHelix TwentyFourPoints Eval
- Implementation:Sgl project Sglang LWS Prefill Node Manifest
Heuristics
- Heuristic:Speechbrain Speechbrain Nonfinite Loss Handling
- Heuristic:Elevenlabs Elevenlabs python VAD vs Manual Commit Strategy
- Heuristic:Evidentlyai Evidently Column Type Inference Rules
- Heuristic:AnswerDotAI RAGatouille Index Rebuild Vs Update Decision
- Heuristic:Vespa engine Vespa Log Level Inheritance Polling
- Heuristic:FlagOpen FlagEmbedding Dynamic Batch Size Reduction
- Heuristic:Kubeflow Kubeflow Issue Routing To Sub Repos
- Heuristic:Unslothai Unsloth Gradient Accumulation Accuracy
- Heuristic:Mlfoundations Open flamingo FSDP Manual Wrapping For Mixed Parameters
- Heuristic:Confident ai Deepeval Dotenv Loading Order
Environments
- Environment:Apache Kafka Docker Build Environment
- Environment:AnswerDotAI RAGatouille Python ColBERT Dependencies
- Environment:Alibaba MNN ARM Mobile Environment
- Environment:Infiniflow Ragflow Frontend Node Environment
- Environment:ARISE Initiative Robosuite GPU Rendering
- Environment:MaterializeInc Materialize Python CI Builder Runtime
- Environment:DevExpress Testcafe Chrome Browser
- Environment:Mbzuai oryx Awesome LLM Post training Python Pandas
- Environment:Recommenders team Recommenders GPU CUDA Environment
- Environment:Hiyouga LLaMA Factory FP8 Training Environment