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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:Nautechsystems Nautilus trader Live trading deployment
- Workflow:Ray project Ray Build and Release Pipeline
- Workflow:Predibase Lorax Server Deployment
- Workflow:Infiniflow Ragflow Document Processing Pipeline
- Workflow:Vibrantlabsai Ragas Custom Metric Creation
- Workflow:Huggingface Datasets Dataset Preprocessing
- Workflow:Googleapis Python genai Model Fine Tuning
- Workflow:Shiyu coder Kronos Batch Prediction
- Workflow:CarperAI Trlx RLHF Dialogue Alignment
- Workflow:Explodinggradients Ragas RAG Evaluation
Principles
- Principle:Anthropics Anthropic sdk python Error Handling And Exceptions
- Principle:Pyro ppl Pyro Biological Sequence Models
- Principle:Apache Druid Query Context Configuration
- Principle:Mlc ai Mlc llm On Device Deployment
- Principle:Langgenius Dify Plugin Credential Configuration
- Principle:Mlc ai Mlc llm Synchronous Engine Initialization
- Principle:LLMBook zh LLMBook zh github io BPE Tokenization
- Principle:Tencent Ncnn Calibration Dataset Preparation
- Principle:Huggingface Alignment handbook Chat Template Configuration
- Principle:LLMBook zh LLMBook zh github io Direct Preference Optimization
Implementations
- Implementation:Infiniflow Ragflow Files Page
- Implementation:Deepspeedai DeepSpeed XPU Multi Tensor Apply
- Implementation:Princeton nlp SimPO Get Tokenizer and Model Config
- Implementation:Lance format Lance LanceTableProvider
- Implementation:Langfuse Langfuse CreateAuthedProjectAPIRoute
- Implementation:Predibase Lorax Validation Schema Extraction
- Implementation:ARISE Initiative Robosuite USDObjects
- Implementation:Scikit learn Scikit learn OrthogonalMatchingPursuit
- Implementation:Microsoft Onnxruntime CUDA Gist
- Implementation:Explodinggradients Ragas RougeScore Metric
Heuristics
- Heuristic:Kubeflow Kubeflow Stale Issue Lifecycle Management
- Heuristic:Mlc ai Web llm KV Cache Window Configuration
- Heuristic:Princeton nlp Tree of thought llm Ad Hoc Value Map Scoring
- Heuristic:Promptfoo Promptfoo WAL Mode Network Filesystem
- Heuristic:Unstructured IO Unstructured Golden File Diff
- Heuristic:Unslothai Unsloth LoRA Rank Selection
- Heuristic:Openai Openai python Structured Output Strict Schema
- Heuristic:Speechbrain Speechbrain Separation Loss Filtering
- Heuristic:Huggingface Alignment handbook DDP Bias Buffer Ignore
- Heuristic:Alibaba MNN Weight Quantization Strategy
Environments
- Environment:Sgl project Sglang CUDA
- Environment:Roboflow Rf detr ONNX Export Environment
- Environment:OpenBMB UltraFeedback HuggingFace Hub Environment
- Environment:Astronomer Astronomer cosmos Cloud Provider Dependencies
- Environment:Scikit learn Scikit learn OpenMP Thread Configuration
- Environment:Langgenius Dify Docker Deployment Environment
- Environment:NVIDIA NeMo Aligner NeMo Framework GPU Environment
- Environment:Truera Trulens Snowflake Connector Environment
- Environment:DataExpert io Data engineer handbook PostgreSQL Docker Environment
- Environment:Bitsandbytes foundation Bitsandbytes ROCm AMD Environment