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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:Zai org CogVideo SAT Video Generation
- Workflow:Astronomer Astronomer cosmos TaskGroup dbt integration
- Workflow:Sail sg LongSpec GLIDE Draft Model Training
- Workflow:Onnx Onnx Reference Evaluation
- Workflow:Heibaiying BigData Notes Flink Kafka Streaming Pipeline
- Workflow:Scikit learn contrib Imbalanced learn Balanced Deep Learning Training
- Workflow:Lucidrains X transformers Autoregressive Language Modeling
- Workflow:Eventual Inc Daft Multimodal AI Batch Inference
- Workflow:Microsoft Agent framework Basic Agent Creation
- Workflow:Volcengine Verl Vision Language Model RL Training
Principles
- Principle:PacktPublishing LLM Engineers Handbook LLM Dataset Generation
- Principle:Langgenius Dify Application Creation
- Principle:Openai Whisper Word Level Subtitle Output
- Principle:NVIDIA NeMo Curator Image Deduplication
- Principle:Microsoft Playwright Launch Codegen
- Principle:SeleniumHQ Selenium WebDriver Session For CDP
- Principle:Axolotl ai cloud Axolotl Distributed Environment Setup
- Principle:Lucidrains X transformers Causal Decoder Configuration
- Principle:Triton inference server Server Classification Postprocessing
- Principle:Truera Trulens Method Instrumentation
Implementations
- Implementation:Helicone Helicone Dev Server Startup
- Implementation:Lance format Lance BinaryEncoding
- Implementation:Dagster io Dagster Vercel Redirect Configuration
- Implementation:Microsoft Onnxruntime TrainingUtil
- Implementation:Vespa engine Vespa Document ABI Spec
- Implementation:Kubeflow Pipelines Pipeline Runner Role
- Implementation:TobikoData Sqlmesh Common Tooltip
- Implementation:Apache Flink Mapred HadoopInputFormat
- Implementation:Openai Openai node Realtime Client Events
- Implementation:Treeverse LakeFS WebUI Package Lock
Heuristics
- Heuristic:PrefectHQ Prefect Task Timeout Thread Limitation
- Heuristic:Snorkel team Snorkel Binary Only Slicing
- Heuristic:Openclaw Openclaw WebSocket Reconnection And Session Cleanup
- Heuristic:Allenai Open instruct Disable Dropout In RL
- Heuristic:Princeton nlp Tree of thought llm API Request Batching
- Heuristic:Ggml org Ggml Gradient Accumulation Batch Sizing
- Heuristic:Run llama Llama index Worker Count Configuration
- Heuristic:Lm sys FastChat Flash Attention GPU Requirements
- Heuristic:Kubeflow Kubeflow Kustomize Build Pipe Apply Pattern
- Heuristic:Dotnet Machinelearning LDA Thread Reservation
Environments
- Environment:Run llama Llama index Fsspec Remote Storage
- Environment:Datajuicer Data juicer Ray Cluster Environment
- Environment:Alibaba MNN GPU Metal Environment
- Environment:Intel Ipex llm Portable Environment
- Environment:Microsoft BIPIA Python CUDA GPU Environment
- Environment:Risingwavelabs Risingwave Dashboard Node Environment
- Environment:Openai Whisper FFmpeg
- Environment:Alibaba MNN GPU OpenCL Environment
- Environment:Tensorflow Tfjs Browser Runtime
- Environment:Unstructured IO Unstructured GitHub Actions