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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:Groq Groq python Text Embedding
- Workflow:Togethercomputer Together python Chat Completion
- Workflow:Mage ai Mage ai SQL Database Source Extraction
- Workflow:Bentoml BentoML BentoCloud Deployment
- Workflow:Farama Foundation Gymnasium Agent Evaluation Recording
- Workflow:Neuml Txtai Model Training
- Workflow:Googleapis Python genai Image Generation Pipeline
- Workflow:Huggingface Alignment handbook QLoRA Single GPU Finetuning
- Workflow:Fede1024 Rust rdkafka Produce Consume Roundtrip
- Workflow:Unslothai Unsloth Model Export And Deployment
Principles
- Principle:Neuml Txtai API Server Bootstrap
- Principle:Datahub project Datahub Java SDK Dependency Setup
- Principle:Pyro ppl Pyro Probabilistic Modeling
- Principle:DataTalksClub Data engineering zoomcamp Data Deduplication
- Principle:Duckdb Duckdb CMake Build Configuration
- Principle:Triton inference server Server Memory Allocation Testing
- Principle:DataExpert io Data engineer handbook Experiment User Assignment
- Principle:Vespa engine Vespa Unicode Normalization
- Principle:OpenGVLab InternVL Weighted Multi Dataset Training
- Principle:Microsoft Onnxruntime Fused Optimizer Configuration
Implementations
- Implementation:Interpretml Interpret StitchWidget TS
- Implementation:Datahub project Datahub RestEmitter
- Implementation:Tensorflow Tfjs Activations Test
- Implementation:Puppeteer Puppeteer Page Screenshot
- Implementation:Microsoft Onnxruntime CPU GatherNDGrad
- Implementation:TobikoData Sqlmesh Tab
- Implementation:ArroyoSystems Arroyo Test Connection Table
- Implementation:Pyro ppl Pyro Pyro Distributions
- Implementation:Datahub project Datahub DatahubRestSink Write Record
- Implementation:SeleniumHQ Selenium Closure UI ContainerRenderer
Heuristics
- Heuristic:Unslothai Unsloth VLLM Memory Utilization
- Heuristic:Vibrantlabsai Ragas Nest Asyncio Uvloop Compatibility
- Heuristic:EvolvingLMMs Lab Lmms eval Truncated Image Handling
- Heuristic:Eric mitchell Direct preference optimization TF32 Matmul Precision
- Heuristic:Turboderp org Exllamav2 Attention Backend Selection
- Heuristic:Eventual Inc Daft Runner Selection Guide
- Heuristic:SqueezeAILab ETS Thread Parallelism Suppression
- Heuristic:Hiyouga LLaMA Factory LoRA DDP Configuration
- Heuristic:Apache Paimon File Sizing and Split Planning
- Heuristic:Datajuicer Data juicer Operator Fusion Rules
Environments
- Environment:Roboflow Rf detr ONNX Export Environment
- Environment:Vespa engine Vespa CMake Cpp23 Build Environment
- Environment:Heibaiying BigData Notes HBase Environment
- Environment:Vllm project Vllm CUDA Runtime
- Environment:MaterializeInc Materialize Kubernetes Helm Runtime
- Environment:Apache Spark Kubernetes Runtime
- Environment:EvolvingLMMs Lab Lmms eval API Credentials Environment
- Environment:Google deepmind Dm control Python MuJoCo Runtime
- Environment:Alibaba ROLL CUDA GPU Environment
- Environment:Zai org CogVideo SAT Framework Environment