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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 Checkpoint Conversion
- Workflow:Huggingface Datatrove Dataset Tokenization
- Workflow:Mit han lab Llm awq TinyChat LLM Deployment
- Workflow:Mistralai Client python GCP Chat Completion
- Workflow:Apache Hudi Docker Demo Setup
- Workflow:Predibase Lorax OpenAI Chat Completion
- Workflow:Shiyu coder Kronos Single Series Prediction
- Workflow:FlagOpen FlagEmbedding Embedder Finetuning
- Workflow:Huggingface Peft Seq2Seq AdaLoRA Finetuning
- Workflow:Kubeflow Kubeflow AI Lifecycle Pipeline
Principles
- Principle:Vespa engine Vespa Log Rotation and Special Handling
- Principle:NVIDIA NeMo Curator Video Export
- Principle:Trailofbits Fickling Benchmark Payload Injection
- Principle:SeldonIO Seldon core Explainer Pipeline Integration
- Principle:Huggingface Alignment handbook Tokenizer Loading
- Principle:Allenai Open instruct vLLM Weight Sync
- Principle:Microsoft Playwright Validate API Responses
- Principle:Openai Openai python Image Generation
- Principle:Mlc ai Mlc llm Concurrent Request Handling
- Principle:Marker Inc Korea AutoRAG Corpus Instantiation
Implementations
- Implementation:Sktime Pytorch forecasting TimeSeriesDataSet To Dataloader
- Implementation:Sgl project Sglang MoE Ops
- Implementation:FMInference FlexLLMGen OptTokenizer
- Implementation:Googleapis Python genai Interactions Transform
- Implementation:SeleniumHQ Selenium HasDownloads
- Implementation:Openai Openai node Stream
- Implementation:Apache Druid SchemaStep
- Implementation:Apache Shardingsphere SchemaMetaDataPersistService Persist
- Implementation:Nautechsystems Nautilus trader BacktestEngine Add Data
- Implementation:Pyro ppl Pyro LiftMessenger
Heuristics
- Heuristic:Open compass VLMEvalKit WORLD SIZE Unset For Model Building
- Heuristic:LaurentMazare Tch rs Hidden Dimension Alignment
- Heuristic:Unstructured IO Unstructured PDF Element Sorting
- Heuristic:Lucidrains X transformers MaskGIT Generation Tuning
- Heuristic:Haosulab ManiSkill Physics Solver Tuning
- Heuristic:Microsoft Onnxruntime Convergence Debugging Tips
- Heuristic:DataExpert io Data engineer handbook Flink Checkpointing Interval Tuning
- Heuristic:Vllm project Vllm Batch Size Hardware Scaling
- Heuristic:Snorkel team Snorkel Precision Init Prior
- Heuristic:Turboderp org Exllamav2 Paged Cache Configuration
Environments
- Environment:Microsoft Agent framework API Credentials
- Environment:ThreeSR Awesome Inference Time Scaling Git CLI Environment
- Environment:Microsoft DeepSpeedExamples RLHF Training Environment
- Environment:Nautechsystems Nautilus trader Python Cython Rust Runtime
- Environment:Fede1024 Rust rdkafka Kafka Broker Runtime
- Environment:Apache Paimon Cloud Storage Credentials
- Environment:OWASP Www project top 10 for large language model applications Pydantic Invoice Agent Runtime
- Environment:Facebookresearch Audiocraft AudioCraft Environment Variables
- Environment:DataExpert io Data engineer handbook PostgreSQL Docker Environment
- Environment:Huggingface Optimum Tensor Parallelization Environment