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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:Wandb Weave Tracing Setup
- Workflow:Langchain ai Langgraph Building a Stateful Graph
- Workflow:Rapidsai Cuml Sklearn Zero Code Acceleration
- Workflow:Vibrantlabsai Ragas Experiment Driven Development
- Workflow:Ggml org Ggml Model Conversion And Quantization
- Workflow:Apache Shardingsphere Shadow Rule Configuration
- Workflow:Ggml org Llama cpp LoRA Adapter Workflow
- Workflow:Neuml Txtai Agent Orchestration
- Workflow:Liu00222 Open Prompt Injection DataSentinel Detection
- Workflow:Kubeflow Pipelines Pipeline Authoring and Compilation
Principles
- Principle:Cleanlab Cleanlab Object Detection Issue Filtering
- Principle:Sktime Pytorch forecasting NBeats Model Instantiation
- Principle:Zai org CogVideo Optical Flow Training Loss
- Principle:Apache Hudi Clustering Commit
- Principle:Mit han lab Llm awq AWQ Transform Application
- Principle:Duckdb Duckdb Declarative Benchmark Execution
- Principle:Sktime Pytorch forecasting DeepAR Model Instantiation
- Principle:Webdriverio Webdriverio AsyncIterationPattern
- Principle:Speechbrain Speechbrain TTS Inference Pipeline
- Principle:Avhz RustQuant Gradient Descent Optimization
Implementations
- Implementation:Fede1024 Rust rdkafka ClientConfig Create With Context
- Implementation:Online ml River Reco BiasedMF
- Implementation:Microsoft Autogen Studio Component Templates
- Implementation:Unstructured IO Unstructured PartitionStrategy
- Implementation:MarketSquare Robotframework browser PluginParser Parse Plugins
- Implementation:Ggml org Llama cpp Server Main
- Implementation:Norrrrrrr lyn WAInjectBench TPR FPR Calculation
- Implementation:CrewAIInc CrewAI Tools Init Interface
- Implementation:Tencent Ncnn NMS Sorted Bboxes
- Implementation:FlagOpen FlagEmbedding Matryoshka Mistral Model Compensation
Heuristics
- Heuristic:Kubeflow Kubeflow Stale Issue Lifecycle Management
- Heuristic:Facebookresearch Audiocraft Generation Parameter Defaults
- Heuristic:Marker Inc Korea AutoRAG Warning Deprecated Legacy QA Creation
- Heuristic:Huggingface Datasets Shuffle Buffer Sizing
- Heuristic:Heibaiying BigData Notes Spark Streaming Local Threads Tip
- Heuristic:Haotian liu LLaVA Tokenizer Version Offset Correction
- Heuristic:Hpcaitech ColossalAI Warmup Steps Heuristic
- Heuristic:ClickHouse ClickHouse Banned Functions Thread Safety
- Heuristic:DevExpress Testcafe MacOS Browser Launch Serialization
- Heuristic:Vibrantlabsai Ragas Concurrency And Retry Configuration
Environments
- Environment:Mlfoundations Open flamingo PyTorch CUDA Distributed
- Environment:Unslothai Unsloth Python Transformers
- Environment:Interpretml Interpret Visualization Environment
- Environment:Deepseek ai Janus CUDA GPU Environment
- Environment:Microsoft Playwright Platform Support Environment
- Environment:Infiniflow Ragflow Frontend Node Environment
- Environment:Sgl project Sglang Triton
- Environment:Datajuicer Data juicer LLM API Credentials Environment
- Environment:Vllm project Vllm GitHub
- Environment:Infiniflow Ragflow Data Source Credentials