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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:Gretelai Gretel synthetics DGAN Timeseries Generation
- Workflow:Groq Groq python Streaming Chat Completion
- Workflow:Risingwavelabs Risingwave CDC Data Replication
- Workflow:Sdv dev SDV Data quality evaluation
- Workflow:HKUDS AI Trader Multi Agent Comparison
- Workflow:Openai Openai python Responses API Text Generation
- Workflow:Apache Shardingsphere Shadow Rule Configuration
- Workflow:Vespa engine Vespa Linguistics text processing pipeline
- Workflow:Lm sys FastChat ShareGPT Data Pipeline
- Workflow:Predibase Lorax Server Deployment
Principles
- Principle:Axolotl ai cloud Axolotl Training Performance Profiling
- Principle:Mit han lab Llm awq INT4 Weight Packing
- Principle:Cypress io Cypress Component Mounting
- Principle:InternLM Lmdeploy API Server Deployment
- Principle:Infiniflow Ragflow Embedding Generation
- Principle:Sktime Pytorch forecasting Reversible Instance Normalization
- Principle:DataTalksClub Data engineering zoomcamp Pipeline Containerization
- Principle:Microsoft Playwright Capture Trace Data
- Principle:Mlfoundations Open flamingo Benchmark Dataset Loading
- Principle:Fastai Fastbook Transfer Learning
Implementations
- Implementation:NVIDIA NeMo Curator FastText Filters
- Implementation:Astronomer Astronomer cosmos VerticaUserPasswordProfileMapping
- Implementation:Online ml River Facto HOFM
- Implementation:Langgenius Dify UseOAuth
- Implementation:Open compass VLMEvalKit Phi4Multimodal
- Implementation:Facebookresearch Audiocraft InfoAudioDataset
- Implementation:ArroyoSystems Arroyo Lookup Join
- Implementation:Alibaba MNN FlatBuffers IDL Parser
- Implementation:Microsoft Playwright CrConnection
- Implementation:ARISE Initiative Robomimic Config factory
Heuristics
- Heuristic:Predibase Lorax Quantization Backend Selection
- Heuristic:Dagster io Dagster Batch Size Tuning
- Heuristic:Truera Trulens Temperature Zero For Deterministic Scoring
- Heuristic:Avhz RustQuant Finite Difference Grid Sizing
- Heuristic:Fastai Fastbook Mixup Data Augmentation
- Heuristic:Haotian liu LLaVA Image Aspect Ratio Padding Strategy
- Heuristic:Ollama Ollama Quantization Layer Selection
- Heuristic:Tensorflow Serving Batching Thread Tuning
- Heuristic:Fastai Fastbook Embedding Size Rule
- Heuristic:Sail sg LongSpec Tree Shape Configuration
Environments
- Environment:Kornia Kornia ONNX Runtime Environment
- Environment:Deepset ai Haystack Python Runtime Environment
- Environment:Fastai Fastbook NLP SpaCy Environment
- Environment:Dagster io Dagster Container Resource Monitoring
- Environment:Vllm project Vllm CUDA Hopper
- Environment:Apache Airflow Python Runtime Environment
- Environment:Deepseek ai Janus CUDA GPU Environment
- Environment:Puppeteer Puppeteer Cross Platform Browser Environment
- Environment:Sgl project Sglang ROCm
- Environment:Lm sys FastChat Python Core Dependencies