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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:Huggingface Diffusers DreamBooth Personalization
- Workflow:Datahub project Datahub Protobuf Schema Ingestion
- Workflow:Lm sys FastChat Distributed Model Serving
- Workflow:Huggingface Peft Seq2Seq AdaLoRA Finetuning
- Workflow:ClickHouse ClickHouse Building From Source
- Workflow:Pola rs Polars SQL Query Interface
- Workflow:Mistralai Client python GCP Chat Completion
- Workflow:Mage ai Mage ai Destination Data Loading
- Workflow:Eventual Inc Daft Data Lakehouse ETL
- Workflow:Togethercomputer Together python Chat Completion
Principles
- Principle:Langgenius Dify Environment Synchronization
- Principle:SeleniumHQ Selenium Driver Binary Resolution
- Principle:VainF Torch Pruning YOLO Architecture Adaptation
- Principle:Diagram of thought Diagram of thought Typed Protocol Configuration
- Principle:Openai Openai python Client Initialization
- Principle:Huggingface Datasets Dataset Builder Resolution
- Principle:Datahub project Datahub Sample Data Loading
- Principle:Langchain ai Langgraph Pregel Execution Algorithm
- Principle:Vllm project Vllm Draft Model Acquisition
- Principle:Shiyu coder Kronos Qlib Test Inference
Implementations
- Implementation:NVIDIA NeMo Curator Nightly Benchmark Config
- Implementation:Roboflow Rf detr Build Dataset
- Implementation:PrefectHQ Prefect UI V2 Package Lock
- Implementation:Promptfoo Promptfoo createDummyFiles
- Implementation:Ggml org Llama cpp Mtmd Init From File
- Implementation:Mage ai Mage ai Mode Streams
- Implementation:Recommenders team Recommenders Notebook Memory Management
- Implementation:Lance format Lance Java WriteDatasetBuilder
- Implementation:Getgauge Taiko Code Command
- Implementation:ClickHouse ClickHouse Clickhouse Split Debug Symbols
Heuristics
- Heuristic:Vllm project Vllm GPU Memory Utilization Tuning
- Heuristic:Apache Kafka Coordinator Loading Commit Interval
- Heuristic:ChenghaoMou Text dedup Suffix Array Merge Strategy
- Heuristic:Fastai Fastbook Mixup Data Augmentation
- Heuristic:Hpcaitech ColossalAI Warmup Steps Heuristic
- Heuristic:Mage ai Mage ai Record Deduplication Before Batch Export
- Heuristic:Speechbrain Speechbrain Score Normalization Tips
- Heuristic:Arize ai Phoenix Warning Deprecated HallucinationEvaluator
- Heuristic:Run llama Llama index Batch Eval Retry Strategy
- Heuristic:Getgauge Taiko Element Actionability Checks
Environments
- Environment:Deepseek ai Janus CUDA GPU Environment
- Environment:Openai CLIP PyTorch CUDA Runtime
- Environment:Treeverse LakeFS LakeFS Server Environment
- Environment:Iterative Dvc Remote Storage Backends
- Environment:Lance format Lance Cloud Storage Credentials
- Environment:Ggml org Ggml Metal GPU Environment
- Environment:Protectai Llm guard Python Runtime Dependencies
- Environment:MaterializeInc Materialize Kubernetes Helm Runtime
- Environment:Sgl project Sglang CPU
- Environment:ArroyoSystems Arroyo Rust Runtime