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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:Helicone Helicone Cost Calculation Pipeline
- Workflow:Mistralai Client python Chat Completion
- Workflow:Snorkel team Snorkel Weak Supervision Pipeline
- Workflow:Confident ai Deepeval End to End LLM Evaluation
- Workflow:Microsoft Agent framework Multi Agent Sequential Orchestration
- Workflow:Risingwavelabs Risingwave Docker Deployment
- Workflow:Recommenders team Recommenders SAR Collaborative Filtering
- Workflow:Ggml org Llama cpp LoRA Adapter Workflow
- Workflow:Datahub project Datahub Docker Quickstart Deployment
- Workflow:Webdriverio Webdriverio Cloud Service Integration
Principles
- Principle:Apache Shardingsphere Cluster Metadata Synchronization
- Principle:Langgenius Dify Authentication Flow
- Principle:Ggml org Llama cpp Common Infrastructure
- Principle:Scikit learn Scikit learn Nearest Neighbors
- Principle:Langgenius Dify InputValidation
- Principle:Mlc ai Web llm Model Selection
- Principle:HKUDS AI Trader LangChain Agent Initialization
- Principle:Run llama Llama index Batch Evaluation Setup
- Principle:Online ml River Iterative Progressive Validation
- Principle:Heibaiying BigData Notes Hive Table Definition
Implementations
- Implementation:Apache Airflow StandaloneCommand Entrypoint
- Implementation:Haosulab ManiSkill BaseDigitalTwinEnv
- Implementation:Infiniflow Ragflow TagItem Component
- Implementation:ClickHouse ClickHouse PCG Random
- Implementation:Trailofbits Fickling Identify Pytorch File Format
- Implementation:Google deepmind Mujoco MjModel from xml path
- Implementation:Scikit learn Scikit learn SVC
- Implementation:Kubeflow Pipelines Control Flow Composition Pattern
- Implementation:Ggml org Ggml Ggml gallocr alloc graph
- Implementation:Microsoft Autogen Studio Auth Routes
Heuristics
- Heuristic:CarperAI Trlx PEFT LoRA Integration
- Heuristic:NVIDIA DALI Distributed Sharding Strategy
- Heuristic:Lakeraai Pint benchmark Use Balanced Accuracy For Imbalanced Datasets
- Heuristic:Promptfoo Promptfoo Adaptive Concurrency Tuning
- Heuristic:Lucidrains X transformers Rotary Position Embedding Selection
- Heuristic:Gretelai Gretel synthetics Batch Size Divisibility Constraints
- Heuristic:Microsoft DeepSpeedExamples SuperOffload NUMA Binding
- Heuristic:LMCache LMCache Chunk Size And Default Config
- Heuristic:Mlfoundations Open flamingo Loss Masking Strategy
- Heuristic:Scikit learn Scikit learn Data Leakage Prevention
Environments
- Environment:MaterializeInc Materialize Python CI Builder Runtime
- Environment:Sdv dev SDV GPU CUDA Support
- Environment:Microsoft Playwright Node Runtime Environment
- Environment:NVIDIA NeMo Curator RAPIDS GPU Stack
- Environment:Huggingface Trl DeepSpeed Environment
- Environment:Google deepmind Mujoco MJX Warp CUDA Environment
- Environment:Sgl project Sglang OpenAI
- Environment:Explodinggradients Ragas Optional Metrics Environment
- Environment:Rapidsai Cuml Dask Distributed
- Environment:Langgenius Dify Redis And Celery Environment