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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:Apache Airflow DAG Authoring and Deployment
- Workflow:Fastai Fastbook Collaborative Filtering
- Workflow:Recommenders team Recommenders SAR Collaborative Filtering
- Workflow:ARISE Initiative Robomimic Training Policy From Demonstrations
- Workflow:Huggingface Datatrove Minhash Deduplication
- Workflow:Hpcaitech ColossalAI DPO Alignment
- Workflow:Huggingface Datasets Format Conversion
- Workflow:Rapidsai Cuml Multi GPU Distributed ML
- Workflow:Vibrantlabsai Ragas Agent Evaluation
- Workflow:Langchain ai Langchain Adding Partner Integration
Principles
- Principle:Turboderp org Exllamav2 Model Compilation
- Principle:Huggingface Diffusers Training Model Loading
- Principle:Ggml org Ggml Backend Initialization
- Principle:Zai org CogVideo Finite Scalar Quantization
- Principle:Onnx Onnx Numpy Tensor Conversion
- Principle:PacktPublishing LLM Engineers Handbook Content Crawling
- Principle:Ggml org Ggml Optimizer Configuration
- Principle:Pytorch Serve API Integration Testing
- Principle:Unstructured IO Unstructured PDF Partitioning
- Principle:Explodinggradients Ragas Optimization Loss Functions
Implementations
- Implementation:Volcengine Verl Package Init
- Implementation:Openai Openai python Container Create Params
- Implementation:Onnx Onnx Helper Make Model
- Implementation:ClickHouse ClickHouse Clickhouse Server Start
- Implementation:Scikit learn Scikit learn LogisticRegression Fit
- Implementation:Infiniflow Ragflow Vite Config
- Implementation:Haotian liu LLaVA Build Demo Gradio
- Implementation:CrewAIInc CrewAI Firecrawl Search Tool
- Implementation:Apache Druid LookupEditDialog
- Implementation:Diagram of thought Diagram of thought DAG Traversal Algorithms
Heuristics
- Heuristic:Nautechsystems Nautilus trader Parquet Row Group Tuning
- Heuristic:Diagram of thought Diagram of thought Typed Records For Auditability
- Heuristic:Avdvg InjectGuard Sim K Threshold Tuning
- Heuristic:Microsoft Playwright Timeout Configuration Tips
- Heuristic:Duckdb Duckdb Test Development Guidelines
- Heuristic:Openai Openai python Timeout Connection Defaults
- Heuristic:DistrictDataLabs Yellowbrick Model Fitted State Detection
- Heuristic:VainF Torch Pruning Channel Rounding Alignment
- Heuristic:Norrrrrrr lyn WAInjectBench Union Ensemble Maximize Recall
- Heuristic:Danijar Dreamerv3 Adaptive Gradient Clipping
Environments
- Environment:Tencent Ncnn Build Environment
- Environment:Tensorflow Serving Docker Runtime Environment
- Environment:Intel Ipex llm Build Environment
- Environment:BerriAI Litellm Provider API Credentials
- Environment:Huggingface Diffusers PyTorch CUDA Runtime
- Environment:Lakeraai Pint benchmark Python 310 With Transformers
- Environment:Microsoft LoRA NLG Eval External Tools
- Environment:Elevenlabs Elevenlabs python Python Httpx
- Environment:SeleniumHQ Selenium Grid Deployment Environment
- Environment:Microsoft Playwright Browser Binaries Environment