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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:Ucbepic Docetl Pipeline Optimization
- Workflow:Neuml Txtai API Deployment
- Workflow:NVIDIA DALI Custom Operator Development
- Workflow:Sdv dev SDV Multi table synthesis
- Workflow:Openai Openai node Chat Completion
- Workflow:Mistralai Client python Function Calling
- Workflow:Bitsandbytes foundation Bitsandbytes FSDP QLoRA Distributed Training
- Workflow:Microsoft Semantic kernel Vector Store RAG Pipeline
- Workflow:Apache Dolphinscheduler Datasource Connection Management
- Workflow:Microsoft Playwright Browser automation CLI
Principles
- Principle:Langchain ai Langgraph Task Composition
- Principle:Apache Hudi CI Parallel Test Orchestration
- Principle:Rapidsai Cuml Genetic Programming
- Principle:Treeverse LakeFS S3 Data Writing
- Principle:Langgenius Dify Model and Prompt Configuration
- Principle:Microsoft Onnxruntime ONNX Input Schema Definition
- Principle:Eventual Inc Daft Column Transformation
- Principle:Lucidrains X transformers Non Autoregressive Wrapper Setup
- Principle:Webdriverio Webdriverio Service Lifecycle
- Principle:Ggml org Llama cpp Ngram Speculative Drafting
Implementations
- Implementation:Microsoft Playwright ImageUtils
- Implementation:Microsoft Onnxruntime CUDA NcclCommon
- Implementation:Explodinggradients Ragas AG UI Experiments Module
- Implementation:Hpcaitech ColossalAI Trainer Callback Base
- Implementation:NVIDIA TransformerEngine Fused Softmax
- Implementation:Microsoft Onnxruntime CPU GRU Grad
- Implementation:Guardrails ai Guardrails Install API Extra
- Implementation:Tencent Ncnn MobileNetV3 SSDLite Example
- Implementation:Zai org CogVideo IFNet HDv3
- Implementation:Online ml River FeatureExtraction PolynomialExtender
Heuristics
- Heuristic:Huggingface Datatrove Gopher Quality Thresholds
- Heuristic:Helicone Helicone Cost Precision Multiplier
- Heuristic:Marker Inc Korea AutoRAG Module Selection Strategies
- Heuristic:Fede1024 Rust rdkafka Cooperative Rebalance Protocol
- Heuristic:Romsto Speculative Decoding Gamma Tuning
- Heuristic:Huggingface Trl Gradient Checkpointing Use Reentrant
- Heuristic:BerriAI Litellm Token Counting Buffer
- Heuristic:Testtimescaling Testtimescaling github io Dual JSON Sync
- Heuristic:Interpretml Interpret EBM Hyperparameter Tuning Guide
- Heuristic:Huggingface Optimum Dummy Input Shape Defaults
Environments
- Environment:Datahub project Datahub Docker Runtime
- Environment:Openai Openai agents python Python 3 9 Runtime
- Environment:PrefectHQ Prefect Python Runtime Environment
- Environment:Langchain ai Langgraph Python Runtime Environment
- Environment:Vllm project Vllm Distributed
- Environment:Apache Shardingsphere Etcd Cluster Coordination
- Environment:Liu00222 Open Prompt Injection CUDA Environment
- Environment:Scikit learn Scikit learn OpenMP Thread Configuration
- Environment:Allenai Open instruct Beaker Cluster
- Environment:Gretelai Gretel synthetics PyTorch CUDA Environment