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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:Confident ai Deepeval Synthetic Dataset Generation
- Workflow:Ray project Ray Remote Task Execution
- Workflow:OWASP Www project top 10 for large language model applications GenAI Red Team Testing
- Workflow:Onnx Onnx Model Creation
- Workflow:Openai Openai agents python Human In The Loop Approval
- Workflow:Ucbepic Docetl YAML Pipeline Execution
- Workflow:Pyro ppl Pyro VAE Training
- Workflow:Apache Shardingsphere Shadow Database Routing
- Workflow:Dagster io Dagster RAG Pipeline
- Workflow:Huggingface Peft Prompt Tuning Classification
Principles
- Principle:Openclaw Openclaw Channel Registration
- Principle:Deepset ai Haystack Retrieval Recall Evaluation
- Principle:Scikit learn Scikit learn Column Composition
- Principle:Ggml org Llama cpp Logging
- Principle:TobikoData Sqlmesh CICD Bot Configuration
- Principle:Webdriverio Webdriverio Command Wrapping
- Principle:Open compass VLMEvalKit Judge LLM Construction
- Principle:AUTOMATIC1111 Stable diffusion webui Network weight restoration
- Principle:Speechbrain Speechbrain Tacotron2 Acoustic Model Training
- Principle:FMInference FlexLLMGen Model Configuration Resolution
Implementations
- Implementation:Ollama Ollama PullModel
- Implementation:Tencent Ncnn YOLOv3 Example
- Implementation:Mlflow Mlflow Scorer Class
- Implementation:Princeton nlp SimPO Get Tokenizer and Model Config
- Implementation:Open compass VLMEvalKit Build Judge
- Implementation:SeldonIO Seldon core Transformers Pipeline Save Pretrained
- Implementation:Sgl project Sglang GEMM Interface
- Implementation:Mlc ai Mlc llm Engine State
- Implementation:Tencent Ncnn SqueezeNet C API Example
- Implementation:Facebookresearch Habitat lab Config dataclass pattern
Heuristics
- Heuristic:Princeton nlp Tree of thought llm API Request Batching
- Heuristic:Ollama Ollama VRAM Recovery And Scheduling
- Heuristic:Avhz RustQuant Learning Rate Tuning
- Heuristic:Neuml Txtai Thread Safety Constraints
- Heuristic:ARISE Initiative Robosuite XML Reset Method Tradeoff
- Heuristic:Microsoft DeepSpeedExamples RLHF Stability Constraints
- Heuristic:Evidentlyai Evidently Drift Detection Thresholds
- Heuristic:CarperAI Trlx Delta Rewards
- Heuristic:Neuml Txtai Batch Size And Sorting Tip
- Heuristic:Fede1024 Rust rdkafka Regular Polling Required
Environments
- Environment:Isaac sim IsaacGymEnvs Pip Dependencies
- Environment:Apache Airflow Docker Container Environment
- Environment:Datajuicer Data juicer GPU CUDA Environment
- Environment:Mlc ai Mlc llm OpenCL Android Environment
- Environment:Langgenius Dify Python Backend Environment
- Environment:Eric mitchell Direct preference optimization Python Dependencies
- Environment:Neuml Txtai Optional Extras Dependencies
- Environment:Intel Ipex llm XPU Serving Environment
- Environment:Sdv dev SDV GPU CUDA Support
- Environment:Ggml org Ggml Vulkan GPU Environment