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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 |
Explore Pages
Workflows
- Workflow:ARISE Initiative Robosuite Gymnasium RL Integration
- Workflow:Farama Foundation Gymnasium Vectorized Environment Training
- Workflow:Sdv dev SDV Constrained synthesis
- Workflow:Microsoft Semantic kernel Process Orchestration
- Workflow:Marker Inc Korea AutoRAG Pipeline Deployment
- Workflow:Microsoft BIPIA Black Box Defense Evaluation
- Workflow:Langchain ai Langchain Chat Model Invocation
- Workflow:Datajuicer Data juicer Text Data Processing Pipeline
- Workflow:Openai Openai agents python Guardrails Secured Agent
- Workflow:OWASP Www project top 10 for large language model applications LLM Vulnerability Assessment
Principles
- Principle:ARISE Initiative Robomimic Dataset Download
- Principle:Microsoft Agent framework Tool Approval Configuration
- Principle:DistrictDataLabs Yellowbrick Dataset Loading
- Principle:SeldonIO Seldon core Usage Metrics Data Model
- Principle:Marker Inc Korea AutoRAG Pipeline Runner Initialization
- Principle:PacktPublishing LLM Engineers Handbook Data Warehouse Query
- Principle:Helicone Helicone Prerequisites Installation
- Principle:Evidentlyai Evidently Classification Quality Evaluation
- Principle:Explodinggradients Ragas Genetic Prompt Optimization
- Principle:NVIDIA NeMo Curator Text Cleaning and Normalization
Implementations
- Implementation:Online ml River Multioutput Chain
- Implementation:Scikit learn Scikit learn MLPClassifier
- Implementation:Open compass VLMEvalKit Supported Video Datasets
- Implementation:Nightwatchjs Nightwatch Nightwatch Options Type Definitions
- Implementation:Ollama Ollama Server Aliases
- Implementation:Unslothai Unsloth FastLanguageModel From Pretrained Vllm
- Implementation:Langgenius Dify Provider Context
- Implementation:Treeverse LakeFS Java SDK Model HookRunList
- Implementation:Ggml org Ggml Weight extraction pattern
- Implementation:Hiyouga LLaMA Factory Unsloth Integration
Heuristics
- Heuristic:Apache Airflow Database Lock Handling
- Heuristic:Shiyu coder Kronos Gradient Clipping Strategy
- Heuristic:Snorkel team Snorkel Binary Only Slicing
- Heuristic:Facebookresearch Audiocraft FSDP Distributed Training Tips
- Heuristic:NVIDIA DALI Distributed Sharding Strategy
- Heuristic:Vibrantlabsai Ragas Nest Asyncio Uvloop Compatibility
- Heuristic:Fede1024 Rust rdkafka Main Queue Poll Interval
- Heuristic:Confident ai Deepeval Dotenv Loading Order
- Heuristic:Apache Kafka Container JMX RMI Port Tip
- Heuristic:Google deepmind Mujoco Thread Pool Configuration
Environments
- Environment:Unstructured IO Unstructured PDF Dependencies
- Environment:CARLA simulator Carla Simulation Runtime
- Environment:Microsoft Autogen Studio Server Environment
- Environment:Huggingface Diffusers Attention Backends
- Environment:Iterative Dvc Git SCM Environment
- Environment:Microsoft Onnxruntime Python Inference Environment
- Environment:Microsoft BIPIA DeepSpeed Finetuning Environment
- Environment:Alibaba ROLL DeepSpeed Training Environment
- Environment:Ggml org Ggml Metal GPU Environment
- Environment:Kserve Kserve GPU Accelerator