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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:Mlc ai Web llm Chrome Extension Integration
- Workflow:Microsoft Agent framework Agent With Tool Approval
- Workflow:TobikoData Sqlmesh Model development and testing
- Workflow:TA Lib Ta lib python Streaming Indicator Computation
- Workflow:Mbzuai oryx Awesome LLM Post training Deep Paper Collection
- Workflow:AUTOMATIC1111 Stable diffusion webui LoRA network application
- Workflow:Lance format Lance Vector Search Pipeline
- Workflow:Apache Paimon Vector Similarity Search
- Workflow:Openai Openai python Audio Processing
- Workflow:NVIDIA DALI Video Processing Pipeline
Principles
- Principle:Scikit learn Scikit learn Isotonic Regression
- Principle:DataTalksClub Data engineering zoomcamp Parquet Data Ingestion
- Principle:Langchain ai Langchain Streaming Method Invocation
- Principle:Promptfoo Promptfoo Test Suite Construction
- Principle:AUTOMATIC1111 Stable diffusion webui Img2img parameter configuration
- Principle:Sktime Pytorch forecasting Time Series Data Loading
- Principle:Openai Openai node Fine Tuning Job Creation
- Principle:Pytorch Serve IPEX Quantized Inference
- Principle:ArroyoSystems Arroyo Barrier Propagation
- Principle:CARLA simulator Carla Unreal Engine Build
Implementations
- Implementation:Pola rs Polars LazyFrame Explain Show Graph
- Implementation:ArroyoSystems Arroyo Json Schema Converter
- Implementation:Anthropics Anthropic sdk python JSONL Decoder
- Implementation:Infiniflow Ragflow Collapse Component
- Implementation:Recommenders team Recommenders Spark Evaluation Classes
- Implementation:Allenai Open instruct Ray Node Setup
- Implementation:ARISE Initiative Robomimic ObsUtils initialize obs utils with config
- Implementation:Ggml org Ggml Virtgpu command stream
- Implementation:PrefectHQ Prefect UI V2 Package Manifest
- Implementation:NVIDIA TransformerEngine Normalization Common
Heuristics
- Heuristic:CarperAI Trlx Batch Size Tuning
- Heuristic:ArroyoSystems Arroyo Checkpoint Interval Tuning
- Heuristic:NVIDIA NeMo Curator Deduplication Blocksize Tuning
- Heuristic:Microsoft Agent framework Typed Agent Options Pattern
- Heuristic:HKUDS AI Trader Position File Locking
- Heuristic:Huggingface Alignment handbook DPO Beta Selection
- Heuristic:Pola rs Polars Use Spawn Not Fork Multiprocessing
- Heuristic:Vespa engine Vespa RPM Zstd Compression Settings
- Heuristic:Wandb Weave Batch Processing Tuning
- Heuristic:Intel Ipex llm CCL Distributed Training Tips
Environments
- Environment:Ray project Ray Java Build Environment
- Environment:Truera Trulens LangChain LangGraph Environment
- Environment:Langgenius Dify Docker Deployment Environment
- Environment:Scikit learn Scikit learn Python Runtime Environment
- Environment:Huggingface Alignment handbook PyTorch CUDA
- Environment:Datajuicer Data juicer Ray Cluster Environment
- Environment:Hpcaitech ColossalAI ColossalQA RAG Environment
- Environment:Huggingface Peft Python Core Dependencies
- Environment:Astronomer Astronomer cosmos Python Airflow Runtime
- Environment:MaterializeInc Materialize Dbt Materialize Runtime