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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:Anthropics Anthropic sdk python Cloud Provider Deployment
- Workflow:NVIDIA TransformerEngine Accelerate HF Gemma With TE
- Workflow:Deepseek ai Janus Multimodal Understanding
- Workflow:DataTalksClub Data engineering zoomcamp dlt Data Ingestion
- Workflow:Mlc ai Web llm Structured Output Generation
- Workflow:PrefectHQ Prefect Web Scraping Pipeline
- Workflow:Scikit learn contrib Imbalanced learn Balanced Deep Learning Training
- Workflow:Neuml Txtai API Deployment
- Workflow:Mistralai Client python Azure Chat Completion
- Workflow:Huggingface Peft Prompt Tuning Classification
Principles
- Principle:LLMBook zh LLMBook zh github io Deduplication
- Principle:Run llama Llama index Pipeline State Persistence
- Principle:PrefectHQ Prefect Asset Definition
- Principle:Haotian liu LLaVA LoRA Weight Merging
- Principle:Onnx Onnx Reference Evaluation Init
- Principle:Bigscience workshop Petals Interactive Generation
- Principle:OpenRLHF OpenRLHF Reward Model Training Loop
- Principle:Mlflow Mlflow Scorer Definition
- Principle:Googleapis Python genai Content Generation With Tools
- Principle:BerriAI Litellm Retry And Fallback
Implementations
- Implementation:Pyro ppl Pyro SVI Step
- Implementation:NVIDIA NeMo Curator ASR Nemo Stage
- Implementation:Datajuicer Data juicer MaximumLineLengthFilter
- Implementation:Neuml Txtai Tokenizer Pipeline
- Implementation:Langchain ai Langgraph Init Chat Model
- Implementation:Mlc ai Mlc llm CUTLASS Ops
- Implementation:Ollama Ollama Llama Memory Hybrid
- Implementation:ClickHouse ClickHouse Poco WebSocket
- Implementation:SeleniumHQ Selenium Closure Testing RecordFunction
- Implementation:Snorkel team Snorkel Make Spark Mapper
Heuristics
- Heuristic:Tensorflow Serving Model Warmup Strategy
- Heuristic:Apache Beam GC Thrashing Detection
- Heuristic:Openai CLIP Linear Probe Regularization C
- Heuristic:Liu00222 Open Prompt Injection Defense Strategy Selection
- Heuristic:Kserve Kserve Multinode Replica Calculation
- Heuristic:Vespa engine Vespa Config Polling Timeout Tuning
- Heuristic:Iterative Dvc Shell Execution Pitfalls
- Heuristic:Ggml org Llama cpp Warning Deprecated Legacy Converters
- Heuristic:Microsoft Autogen Graph Validation Rules
- Heuristic:DevExpress Testcafe CDP Performance Monitoring
Environments
- Environment:Heibaiying BigData Notes Storm 1 2 Environment
- Environment:Protectai Modelscan H5py Optional
- Environment:Intel Ipex llm CPU Finetuning Environment
- Environment:Langgenius Dify Docker Deployment Environment
- Environment:Risingwavelabs Risingwave Java Connector Environment
- Environment:Google deepmind Dm control OSMesa Software Rendering
- Environment:Langchain ai Langgraph Postgres Checkpoint Environment
- Environment:Axolotl ai cloud Axolotl Python Runtime
- Environment:Guardrails ai Guardrails LLM Provider API Keys
- Environment:Hiyouga LLaMA Factory Quantization Dependencies