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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:FMInference FlexLLMGen Single GPU Offloaded Inference
- Workflow:PacktPublishing LLM Engineers Handbook Digital Data ETL
- Workflow:Sgl project Sglang Online Serving With OpenAI API
- Workflow:Google research Deduplicate text datasets Wiki40B TFDS deduplication
- Workflow:Mlfoundations Open flamingo Distributed Training
- Workflow:Apache Spark Application Submission
- Workflow:Apache Druid SQL Based Data Ingestion
- Workflow:Norrrrrrr lyn WAInjectBench Embedding Classifier Training
- Workflow:Infiniflow Ragflow Agent Workflow Building
- Workflow:NVIDIA TransformerEngine FP8 Training Quickstart
Principles
- Principle:Duckdb Duckdb Unicode Processing
- Principle:Haosulab ManiSkill Environment Configuration
- Principle:Kserve Kserve Prediction Protocol
- Principle:Apache Druid Streaming Schema Spec
- Principle:Hiyouga LLaMA Factory Causal Language Model Pretraining
- Principle:Roboflow Rf detr Dataset Preparation
- Principle:Nautechsystems Nautilus trader Execution Reconciliation
- Principle:LaurentMazare Tch rs Advantage Actor Critic
- Principle:Huggingface Diffusers CI Test Reporting
- Principle:Eventual Inc Daft Distributed Scaling Ray
Implementations
- Implementation:Online ml River Tree Splitter NominalReg
- Implementation:FlowiseAI Flowise Docker Compose Queue Prebuilt
- Implementation:Datajuicer Data juicer VideoDurationFilter
- Implementation:Google deepmind Mujoco MJWarp Collision Primitive
- Implementation:Vllm project Vllm CPU Attn NEON
- Implementation:BerriAI Litellm OpenMeter Logger
- Implementation:Apache Paimon AuthProvider
- Implementation:Interpretml Interpret Synthetic Dataset Generation
- Implementation:Predibase Lorax Linear Layer Factory
- Implementation:Huggingface Optimum Backend Specific Pipeline
Heuristics
- Heuristic:Norrrrrrr lyn WAInjectBench L2 Normalize CLIP Embeddings
- Heuristic:PrefectHQ Prefect Concurrency Limit Scoping
- Heuristic:Snorkel team Snorkel Minimum Three LFs
- Heuristic:Guardrails ai Guardrails Async Vs Sync Validation Mode
- Heuristic:Onnx Onnx Shape Inference Limitations
- Heuristic:Romsto Speculative Decoding Gamma Tuning
- Heuristic:Marker Inc Korea AutoRAG Module Selection Strategies
- Heuristic:Openai Openai node Warning Deprecated Assistants API
- Heuristic:Roboflow Rf detr Small Dataset Oversampling
- Heuristic:ClickHouse ClickHouse Banned Functions Thread Safety
Environments
- Environment:PrefectHQ Prefect AI Integration Credentials
- Environment:Dotnet Machinelearning OneDal Acceleration
- Environment:Neuml Txtai GPU Accelerator Environment
- Environment:Alibaba ROLL Ascend NPU Environment
- Environment:Vllm project Vllm Distributed
- Environment:Cleanlab Cleanlab Datalab Dependencies
- Environment:Unstructured IO Unstructured Profiling Tools
- Environment:Puppeteer Puppeteer Configuration Environment Variables
- Environment:SeldonIO Seldon core Python ML Dependencies Environment
- Environment:Microsoft LoRA NLG Eval External Tools