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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:Gretelai Gretel synthetics DGAN Timeseries Generation
- Workflow:NVIDIA DALI Video Processing Pipeline
- Workflow:Protectai Modelscan Programmatic Model Scanning
- Workflow:Huggingface Alignment handbook SFT DPO Alignment Pipeline
- Workflow:Neuml Txtai Model Training
- Workflow:EvolvingLMMs Lab Lmms eval Server Mode Evaluation
- Workflow:Vllm project Vllm Multi LoRA Serving
- Workflow:Astronomer Astronomer cosmos Local dbt DAG rendering
- Workflow:Teamcapybara Capybara Selenium Driver Configuration
- Workflow:Sktime Pytorch forecasting DeepAR Probabilistic Forecasting
Principles
- Principle:Langchain ai Langgraph Chatbot Simulation Evaluation
- Principle:Fede1024 Rust rdkafka Client Statistics Monitoring
- Principle:ClickHouse ClickHouse Installation
- Principle:Google deepmind Mujoco Constraint Solving
- Principle:Sail sg LongSpec Environment Setup
- Principle:Openai Evals Custom Eval Implementation
- Principle:AUTOMATIC1111 Stable diffusion webui Image upscaling
- Principle:PrefectHQ Prefect Frontend Application Configuration
- Principle:Unstructured IO Unstructured Embedding Provider Interface
- Principle:Protectai Llm guard Input Scanner Interface
Implementations
- Implementation:Sktime Pytorch forecasting TiDE V2
- Implementation:LMCache LMCache Mooncake Lookup Client
- Implementation:Bigscience workshop Petals ModuleContainer Create
- Implementation:Puppeteer Puppeteer HTTPRequest Resolution
- Implementation:Ollama Ollama ConvertAdapter
- Implementation:Sdv dev SDV Metadata Load From Json
- Implementation:Openclaw Openclaw DoctorCommand
- Implementation:Open compass VLMEvalKit Spatial457
- Implementation:Kserve Kserve LLM Worker DP Config
- Implementation:Turboderp org Exllamav2 ExLlamaV2SelectFilter
Heuristics
- Heuristic:Astronomer Astronomer cosmos Deprecation Migration Paths
- Heuristic:Farama Foundation Gymnasium Seeding Determinism Best Practices
- Heuristic:NVIDIA NeMo Curator GPU Memory Resource Allocation
- Heuristic:Mbzuai oryx Awesome LLM Post training Paper Deduplication Via Dict
- Heuristic:Lm sys FastChat Tokenizer Offset Correction
- Heuristic:Openai Whisper Temperature Fallback Strategy
- Heuristic:Pola rs Polars GPU Aggregation Join Speedup
- Heuristic:Unslothai Unsloth Merge Memory Management
- Heuristic:EvolvingLMMs Lab Lmms eval Bootstrap Iteration Optimization
- Heuristic:Cleanlab Cleanlab KNN Distance Metric Selection
Environments
- Environment:Truera Trulens OpenAI Provider Environment
- Environment:Rapidsai Cuml CUDA GPU
- Environment:Cleanlab Cleanlab Datalab Dependencies
- Environment:Apache Beam Java Build Environment
- Environment:Kserve Kserve SRIOV RDMA Network
- Environment:Intel Ipex llm RAG LlamaIndex Environment
- Environment:Iamhankai Forest of Thought Python CUDA Runtime
- Environment:Sgl project Sglang GitHub Actions
- Environment:Vllm project Vllm CUDA Runtime
- Environment:Datahub project Datahub Docker Runtime