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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:Apache Druid SQL Based Data Ingestion
- Workflow:PacktPublishing LLM Engineers Handbook Feature Engineering
- Workflow:Lance format Lance Full Text Search
- Workflow:Huggingface Transformers Model Benchmarking
- Workflow:Microsoft Semantic kernel Vector Store RAG Pipeline
- Workflow:Pola rs Polars Lazy Query Pipeline
- Workflow:Confident ai Deepeval LLM Tracing and Observability
- Workflow:Huggingface Diffusers LoRA Finetuning
- Workflow:PrefectHQ Prefect API Sourced ETL
- Workflow:Apache Airflow Kubernetes Deployment via Helm
Principles
- Principle:Anthropics Anthropic sdk python Streaming Structured Output
- Principle:Scikit learn Scikit learn Metric Visualization
- Principle:Apache Druid Visual Query Execution
- Principle:Ggml org Llama cpp Logging System
- Principle:Zai org CogVideo Vector Quantization
- Principle:Apache Airflow Operator Sensor Development
- Principle:ClickHouse ClickHouse Fundamental Type Aliases
- Principle:Huggingface Transformers Environment Setup
- Principle:Langchain ai Langgraph Agent State Schema
- Principle:Ggml org Llama cpp CI Testing
Implementations
- Implementation:Explodinggradients Ragas KnowledgeGraph Enrichment Methods
- Implementation:NVIDIA TransformerEngine Comm GEMM C API
- Implementation:Google deepmind Mujoco Engine Util Errmem
- Implementation:Apache Druid TimeRelativeFilterControl
- Implementation:Haosulab ManiSkill BC Diffusion Training
- Implementation:Microsoft Onnxruntime Convert Sklearn
- Implementation:Cypress io Cypress GetInstallMessage
- Implementation:Ggml org Ggml Gguf add tensor
- Implementation:Openai Whisper Decode
- Implementation:TA Lib Ta lib python Stream Validation Pattern
Heuristics
- Heuristic:CARLA simulator Carla PID Controller Tuning
- Heuristic:Dagster io Dagster Record Over Dataclass
- Heuristic:Huggingface Open r1 Distributed Training Configuration
- Heuristic:Recommenders team Recommenders TensorFlow Session Ordering
- Heuristic:Neuml Txtai Batch Size Defaults
- Heuristic:Fede1024 Rust rdkafka Regular Polling Required
- Heuristic:Duckdb Duckdb Version Sync Across Files
- Heuristic:FlagOpen FlagEmbedding Gradient Checkpointing Tip
- Heuristic:Pola rs Polars Use Spawn Not Fork Multiprocessing
- Heuristic:Eric mitchell Direct preference optimization FSDP Mixed Precision BFloat16
Environments
- Environment:Huggingface Datasets SQL Dependencies
- Environment:Apache Hudi Java Maven Build Environment
- Environment:Nightwatchjs Nightwatch BrowserStack Cloud
- Environment:Apache Flink Hadoop Compatibility Environment
- Environment:Microsoft DeepSpeedExamples ZeRO Inference Runtime
- Environment:Getgauge Taiko Docker Container
- Environment:Vllm project Vllm NVIDIA CUDA
- Environment:Fastai Fastbook Jupyter Notebook Environment
- Environment:Spcl Graph of thoughts OpenAI API Access
- Environment:Promptfoo Promptfoo Browser Automation