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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:Ray project Ray Build and Release Pipeline
- Workflow:Ggml org Llama cpp Speculative Decoding
- Workflow:Fastai Fastbook Collaborative Filtering
- Workflow:Ggml org Ggml GPT2 Text Generation
- Workflow:Huggingface Optimum Automatic Tensor Parallelization
- Workflow:Explodinggradients Ragas RAG Evaluation
- Workflow:Mage ai Mage ai Destination Data Loading
- Workflow:Apache Kafka Release Candidate Staging
- Workflow:Iterative Dvc Data Tracking
- Workflow:LLMBook zh LLMBook zh github io LLM Pretraining
Principles
- Principle:Apache Dolphinscheduler Task Lifecycle Event Tracking
- Principle:OpenGVLab InternVL Batch VQA Inference
- Principle:Huggingface Datatrove Line Level Statistics
- Principle:Huggingface Transformers Model Loading For Training
- Principle:OpenRLHF OpenRLHF Iterative DPO
- Principle:Mlflow Mlflow ML Framework Compatibility Management
- Principle:Apache Kafka Release Notes Generation
- Principle:ArroyoSystems Arroyo API Architecture
- Principle:Eventual Inc Daft Delta Lake Reading
- Principle:TA Lib Ta lib python Abstract Data Input
Implementations
- Implementation:Fede1024 Rust rdkafka AdminClient
- Implementation:Microsoft LoRA Legacy Run NER
- Implementation:Marker Inc Korea AutoRAG Generate QA Ragas
- Implementation:Intel Ipex llm Pipeline Parallel Serving
- Implementation:Langchain ai Langchain SparseEmbeddings
- Implementation:Scikit learn Scikit learn Isomap
- Implementation:Triton inference server Server Fill Template
- Implementation:Neuml Txtai AudioMixer
- Implementation:Interpretml Interpret Powerlift Executor
- Implementation:Datajuicer Data juicer ImageWatermarkFilter
Heuristics
- Heuristic:OWASP Www project top 10 for large language model applications Warning Deprecated Markdown To PDF Convert
- Heuristic:Iterative Dvc YAML Dual Parser Strategy
- Heuristic:Openai Openai python Timeout Connection Defaults
- Heuristic:Romsto Speculative Decoding Filler Top K Tuning
- Heuristic:Nautechsystems Nautilus trader Order Rate Limiting Configuration
- Heuristic:Unstructured IO Unstructured Warning Deprecated Staging Base
- Heuristic:Huggingface Datasets Batch Size Optimization
- Heuristic:Scikit learn Scikit learn N Jobs Parallelism Tips
- Heuristic:ARISE Initiative Robosuite XML Reset Method Tradeoff
- Heuristic:Gretelai Gretel synthetics GPU Memory Allow Growth
Environments
- Environment:ChenghaoMou Text dedup Suffix Array External Tools
- Environment:BerriAI Litellm Docker Deployment
- Environment:Huggingface Diffusers Quantization Environment
- Environment:Webdriverio Webdriverio Cloud Service Credentials
- Environment:Protectai Modelscan Python Core Runtime
- Environment:Bentoml BentoML BentoCloud Credentials
- Environment:Huggingface Trl DeepSpeed Environment
- Environment:Google research Deduplicate text datasets Rust Cargo Build Environment
- Environment:Intel Ipex llm XPU Serving Environment
- Environment:PrefectHQ Prefect AI Integration Credentials