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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:Cypress io Cypress Local Development Environment
- Workflow:Gretelai Gretel synthetics LSTM Text Generation
- Workflow:DistrictDataLabs Yellowbrick Cluster Analysis
- Workflow:Langgenius Dify Plugin Installation and Configuration
- Workflow:Romsto Speculative Decoding Interactive CLI Comparison
- Workflow:OpenGVLab InternVL LoRA Finetuning
- Workflow:Nautechsystems Nautilus trader Backtest with BacktestNode
- Workflow:ArroyoSystems Arroyo Connection Setup
- Workflow:Webdriverio Webdriverio WDIO Testrunner Setup
- Workflow:LLMBook zh LLMBook zh github io LLM Pretraining
Principles
- Principle:Pyro ppl Pyro Conditional Density Estimation
- Principle:Helicone Helicone Result Type Pattern
- Principle:Princeton nlp SimPO Environment Setup
- Principle:ARISE Initiative Robosuite Mobile Base Control Abstraction
- Principle:Openai CLIP Image Feature Encoding
- Principle:Microsoft LoRA Distributed LoRA Training
- Principle:Huggingface Datatrove URL Filtering
- Principle:Langchain ai Langgraph Runtime Config Access
- Principle:LLMBook zh LLMBook zh github io High Throughput LLM Inference
- Principle:SeleniumHQ Selenium Grid Server Building
Implementations
- Implementation:Facebookresearch Habitat lab PPOTrainer train
- Implementation:Datahub project Datahub HasGlossaryTerms Mixin
- Implementation:Dotnet Machinelearning LdaDocumentSampler
- Implementation:Hpcaitech ColossalAI ExperienceMakerHolder
- Implementation:Allenai Open instruct PreferenceDatasetProcessor
- Implementation:Apache Paimon Predicate
- Implementation:Treeverse LakeFS Java SDK Model ObjectStageCreation
- Implementation:PacktPublishing LLM Engineers Handbook UserDocument Get Or Create
- Implementation:Online ml River Multiclass OutputCodeClassifier
- Implementation:NVIDIA NeMo Aligner MegatronSD DRaFTP Model
Heuristics
- Heuristic:Turboderp org Exllamav2 Attention Backend Selection
- Heuristic:BerriAI Litellm Cooldown Threshold Tuning
- Heuristic:Ollama Ollama VRAM Recovery And Scheduling
- Heuristic:Sdv dev SDV HMA Schema Simplification
- Heuristic:Apache Beam Watermark Update Throttling
- Heuristic:Lance format Lance BM25 FTS Configuration
- Heuristic:Norrrrrrr lyn WAInjectBench Balanced Class Weights Imbalanced Data
- Heuristic:Marker Inc Korea AutoRAG Hybrid Retrieval Score Normalization
- Heuristic:Dagster io Dagster Retry Strategy Configuration
- Heuristic:TobikoData Sqlmesh Model Change Categorization
Environments
- Environment:Huggingface Optimum GPTQ Quantization Environment
- Environment:Kubeflow Kubeflow Git GitHub Environment
- Environment:Kornia Kornia CUDA GPU Environment
- Environment:Pola rs Polars Cloud Storage Environment
- Environment:Facebookresearch Habitat lab SLURM Distributed Environment
- Environment:ThreeSR Awesome Inference Time Scaling GitHub Account Environment
- Environment:Predibase Lorax Python Server Dependencies
- Environment:Googleapis Python genai Gemini API Key Authentication
- Environment:Datahub project Datahub Docker Runtime
- Environment:Obss Sahi Python Image Processing