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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:Microsoft LoRA GPT2 NLG Finetuning
- Workflow:Microsoft Agent framework Graph Based Workflow Execution
- Workflow:Teamcapybara Capybara Custom Selector Definition
- Workflow:Anthropics Anthropic sdk python Structured Output Extraction
- Workflow:Datajuicer Data juicer Distributed Ray Processing
- Workflow:Kubeflow Kubeflow AI Lifecycle Pipeline
- Workflow:Norrrrrrr lyn WAInjectBench Text Prompt Injection Detection
- Workflow:Farama Foundation Gymnasium Custom Environment Creation
- Workflow:Explodinggradients Ragas Test Data Generation
- Workflow:Tensorflow Serving REST API Inference
Principles
- Principle:Apache Druid Timestamp Configuration
- Principle:Hiyouga LLaMA Factory Proximal Policy Optimization
- Principle:Kserve Kserve CRD Schema Validation
- Principle:Cohere ai Cohere python Tool Function Execution
- Principle:DistrictDataLabs Yellowbrick Confusion Matrix Visualization
- Principle:Lucidrains X transformers Sequence to Sequence Data Preparation
- Principle:Huggingface Datasets Split Definition
- Principle:Mlc ai Web llm Embedding Input Formatting
- Principle:Snorkel team Snorkel Label Quality Evaluation
- Principle:Zai org CogVideo I2V Pipeline Loading
Implementations
- Implementation:Marker Inc Korea AutoRAG QA Batch Apply Factoid Query Gen
- Implementation:Puppeteer Puppeteer Encoding
- Implementation:Vllm project Vllm GGML Common
- Implementation:Haosulab ManiSkill MP Parallel Pattern
- Implementation:Spotify Luigi PaiTask
- Implementation:InternLM Lmdeploy Core FloatingPoint
- Implementation:InternLM Lmdeploy AttentionIterator
- Implementation:Teamcapybara Capybara Selector Label
- Implementation:Microsoft Semantic kernel ChatCompletionAgent
- Implementation:Microsoft Semantic kernel EnglishRoberta Encoder
Heuristics
- Heuristic:Isaac sim IsaacGymEnvs GPU Pipeline Selection
- Heuristic:Treeverse LakeFS Warning Deprecated InternalApi Methods
- Heuristic:Marker Inc Korea AutoRAG GPU Memory Cleanup Pattern
- Heuristic:Puppeteer Puppeteer Navigation Race Condition Avoidance
- Heuristic:Confident ai Deepeval Dotenv Loading Order
- Heuristic:Openai Whisper Median Word Duration Clamping
- Heuristic:CARLA simulator Carla Sensor Queue Synchronization Pattern
- Heuristic:Elevenlabs Elevenlabs python TTS Model Selection
- Heuristic:Webdriverio Webdriverio Click Interception Workaround
- Heuristic:Liu00222 Open Prompt Injection Attack Effectiveness Hierarchy
Environments
- Environment:Speechbrain Speechbrain Multi GPU DDP
- Environment:NVIDIA NeMo Aligner NeMo Framework GPU Environment
- Environment:Puppeteer Puppeteer Configuration Environment Variables
- Environment:Deepset ai Haystack OpenAI API Environment
- Environment:Vllm project Vllm CUDA
- Environment:Mlflow Mlflow Docker Container Environment
- Environment:Gretelai Gretel synthetics TensorFlow GPU Environment
- Environment:Apache Dolphinscheduler Java Runtime
- Environment:Openai Evals Python Runtime
- Environment:Turboderp org Exllamav2 Flash Attention Backend