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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:SeldonIO Seldon core HuggingFace Model Serving
- Workflow:Volcengine Verl Multi Turn Tool Use Training
- Workflow:Guardrails ai Guardrails Custom Validator Development
- Workflow:Datahub project Datahub Protobuf Schema Ingestion
- Workflow:Sktime Pytorch forecasting TFT Demand Forecasting
- Workflow:Pola rs Polars SQL Query Interface
- Workflow:Ggml org Llama cpp Embedding Extraction
- Workflow:DataExpert io Data engineer handbook Flink Kafka Streaming Pipeline
- Workflow:Haifengl Smile Nearest Neighbor Search
- Workflow:Openai Evals Building a custom eval
Principles
- Principle:Ggml org Llama cpp Batch Processing
- Principle:Openai Openai node Realtime Session Configuration
- Principle:Deepset ai Haystack Document Splitting
- Principle:Mit han lab Llm awq Distributed Model Serving
- Principle:Evidentlyai Evidently Dataset Creation
- Principle:Mbzuai oryx Awesome LLM Post training Paper Corpus Review
- Principle:Avhz RustQuant Business Calendar
- Principle:Microsoft DeepSpeedExamples DeepSpeed MoE Training
- Principle:Heibaiying BigData Notes Hive Partitioning and Bucketing
- Principle:Apache Spark PR Merge Workflow
Implementations
- Implementation:Ggml org Ggml Cpu backend interface
- Implementation:Hiyouga LLaMA Factory Base Engine
- Implementation:Microsoft Onnxruntime SessionOptions Init
- Implementation:Apache Paimon DLFECSTokenLoader
- Implementation:Evidentlyai Evidently CLI Legacy UI
- Implementation:Hpcaitech ColossalAI Eval JSON Config
- Implementation:Deepspeedai DeepSpeed SIMD Abstraction
- Implementation:SeleniumHQ Selenium Closure Aria
- Implementation:Webdriverio Webdriverio Error Handling Pattern
- Implementation:ClickHouse ClickHouse Phdr Cache
Heuristics
- Heuristic:Langgenius Dify SQL Escape Backslash First
- Heuristic:Datahub project Datahub Validation Cross API
- Heuristic:MaterializeInc Materialize Docker Image Cache Lookup
- Heuristic:Apache Spark Memory Tuning Tips
- Heuristic:InternLM Lmdeploy KV Quantization Tradeoffs
- Heuristic:PacktPublishing LLM Engineers Handbook Chunking Strategy By Content Type
- Heuristic:Mage ai Mage ai Batch Size Tuning
- Heuristic:CarperAI Trlx PEFT LoRA Integration
- Heuristic:Open compass VLMEvalKit WORLD SIZE Unset For Model Building
- Heuristic:BerriAI Litellm Retry Backoff Strategy
Environments
- Environment:Ollama Ollama CGo Runtime
- Environment:Ggml org Llama cpp Vulkan GPU Environment
- Environment:Deepset ai Haystack Python Runtime Environment
- Environment:InternLM Lmdeploy CUDA GPU Runtime
- Environment:Online ml River Python Runtime Environment
- Environment:Kserve Kserve Istio Service Mesh
- Environment:Junyanz Pytorch CycleGAN and pix2pix Python PyTorch Runtime
- Environment:Huggingface Optimum Accelerated Inference Environment
- Environment:Volcengine Verl Megatron Core Environment
- Environment:Truera Trulens Snowflake Connector Environment