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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:NVIDIA NeMo Curator Video Curation Pipeline
- Workflow:Google deepmind Mujoco Interactive simulation
- Workflow:Langgenius Dify Visual Workflow Builder
- Workflow:Google deepmind Dm control Locomotion Task Setup
- Workflow:Mistralai Client python Streaming Chat Completion
- Workflow:Huggingface Transformers Model Benchmarking
- Workflow:Togethercomputer Together python Batch Inference
- Workflow:Google research Deduplicate text datasets Suffix array querying
- Workflow:Ggml org Llama cpp HF to GGUF Model Conversion
- Workflow:Junyanz Pytorch CycleGAN and pix2pix Pix2pix Training
Principles
- Principle:Langchain ai Langchain Standard Integration Testing
- Principle:Microsoft BIPIA Few Shot Example Construction
- Principle:Alibaba ROLL Segment Masked Policy Optimization
- Principle:Datajuicer Data juicer Data Selection
- Principle:Tensorflow Serving Servable Access Pattern
- Principle:ClickHouse ClickHouse Test Result Analysis
- Principle:Dagster io Dagster Component Based Definitions
- Principle:AUTOMATIC1111 Stable diffusion webui Latent Diffusion Pipeline
- Principle:Huggingface Transformers CI Configuration Generation
- Principle:Interpretml Interpret Rule Based Classification
Implementations
- Implementation:Openai Openai node Zod Helpers
- Implementation:CrewAIInc CrewAI Knowledge Constructor
- Implementation:Mistralai Client python Chat Complete
- Implementation:Datajuicer Data juicer SentenceAugmentationMapper
- Implementation:Triton inference server Server Tritonclient Infer
- Implementation:NVIDIA TransformerEngine JAX Cpp Quantization
- Implementation:Cohere ai Cohere python EmbedInputType Configuration
- Implementation:Openai Openai python Completion Choice Model
- Implementation:Mlflow Mlflow Trace Decorator
- Implementation:Speechbrain Speechbrain Create Aishell1Mix From Metadata
Heuristics
- Heuristic:Apache Airflow DAG Top Level Code Avoidance
- Heuristic:ArroyoSystems Arroyo Stateful Operator TTL
- Heuristic:ContextualAI HALOs FSDP Sampling Workaround
- Heuristic:Intel Ipex llm Llama Padding Token Workaround
- Heuristic:Marker Inc Korea AutoRAG Deterministic Evaluation Generation
- Heuristic:PeterL1n BackgroundMattingV2 Refine Mode Selection
- Heuristic:Microsoft Agent framework Typed Agent Options Pattern
- Heuristic:Scikit learn Scikit learn Feature Scaling Numerical Stability
- Heuristic:Kubeflow Pipelines Cache Staleness In Recursive Pipelines
- Heuristic:Deepset ai Haystack Document Splitting Defaults
Environments
- Environment:CarperAI Trlx DeepSpeed Multi GPU
- Environment:Risingwavelabs Risingwave Dashboard Node Environment
- Environment:LLMBook zh LLMBook zh github io Data Processing Environment
- Environment:Microsoft DeepSpeedExamples CIFAR10 Training Environment
- Environment:OpenRLHF OpenRLHF DeepSpeed Environment
- Environment:FlagOpen FlagEmbedding Finetuning Environment
- Environment:Nautechsystems Nautilus trader Arrow Parquet Serialization
- Environment:Openai Openai python Python 3 9 Plus
- Environment:Intel Ipex llm Windows Environment
- Environment:Pyro ppl Pyro Python PyTorch Core