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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:Volcengine Verl GRPO Training Pipeline
- Workflow:OpenGVLab InternVL Preference Optimization
- Workflow:Bigscience workshop Petals Prompt Tuning Classification
- Workflow:Langchain ai Langchain Chat Model Invocation
- Workflow:Google research Deduplicate text datasets Wiki40B TFDS deduplication
- Workflow:Openai CLIP Prompt engineered classification
- Workflow:Recommenders team Recommenders News Recommendation NRMS
- Workflow:Scikit learn Scikit learn Data Preprocessing Pipeline
- Workflow:MarketSquare Robotframework browser Browser Test Authoring
- Workflow:TA Lib Ta lib python Installation And Setup
Principles
- Principle:Kserve Kserve VLLM Health Monitoring
- Principle:Vespa engine Vespa Version Preparation
- Principle:ClickHouse ClickHouse Remote Syslog Logging
- Principle:Huggingface Transformers Environment Setup
- Principle:Huggingface Datasets Archive Extraction
- Principle:Protectai Llm guard Competitor Name Detection
- Principle:Romsto Speculative Decoding Ngram Storage
- Principle:Langgenius Dify Application Factory
- Principle:Langchain ai Langgraph Server Authentication
- Principle:Fastai Fastbook Classifier Data Preparation
Implementations
- Implementation:Microsoft LoRA Legacy Run SWAG
- Implementation:Langgenius Dify HitTesting
- Implementation:ARISE Initiative Robosuite ManipulatorModel
- Implementation:ARISE Initiative Robosuite LidObject
- Implementation:Fede1024 Rust rdkafka Metadata Wrappers
- Implementation:FlowiseAI Flowise ConditionDialog
- Implementation:Openai Openai python Response Input Image
- Implementation:Vibrantlabsai Ragas AgUI Experiments
- Implementation:Datajuicer Data juicer VideoObjectSegmentingMapper
- Implementation:Mlflow Mlflow Search Prompts
Heuristics
- Heuristic:Google deepmind Dm control Tolerance Reward Tuning
- Heuristic:Fede1024 Rust rdkafka Main Queue Poll Interval
- Heuristic:MaterializeInc Materialize CI Agent Prioritization
- Heuristic:Tencent Ncnn Optimize Before Quantize
- Heuristic:Haosulab ManiSkill Rendering Memory Optimization
- Heuristic:Openai Openai python Warning Deprecated Legacy Response
- Heuristic:Apache Spark Memory Tuning Tips
- Heuristic:Huggingface Open r1 Code Execution Timeout Strategy
- Heuristic:Duckdb Duckdb Test Development Guidelines
- Heuristic:Apache Shardingsphere DDL Refresher Superclass Fallback
Environments
- Environment:NVIDIA TransformerEngine CUDA Toolkit Requirements
- Environment:Risingwavelabs Risingwave Docker Deployment Environment
- Environment:Sktime Pytorch forecasting Matplotlib Plotting Dependencies
- Environment:Ggml org Llama cpp Vulkan GPU Environment
- Environment:Hiyouga LLaMA Factory Distributed Training Environment
- Environment:Eventual Inc Daft Python PyArrow Core
- Environment:FMInference FlexLLMGen CUDA GPU
- Environment:Promptfoo Promptfoo Node Runtime
- Environment:Heibaiying BigData Notes Flink 1 9 Environment
- Environment:Mit han lab Llm awq CUDA Build Environment