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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:Sktime Pytorch forecasting NBeats Univariate Forecasting
- Workflow:Gretelai Gretel synthetics DGAN Timeseries Generation
- Workflow:Haosulab ManiSkill Sim2Real Deployment
- Workflow:FlagOpen FlagEmbedding Reranker Inference
- Workflow:Langgenius Dify Workflow Builder and Execution
- Workflow:Turboderp org Exllamav2 EXL2 Model Conversion
- Workflow:Apache Kafka Coordinator Runtime Lifecycle
- Workflow:Sgl project Sglang Online Serving With OpenAI API
- Workflow:TA Lib Ta lib python Streaming Indicator Computation
- Workflow:Huggingface Datatrove Summary Statistics
Principles
- Principle:FMInference FlexLLMGen Distributed Checkpoint Management
- Principle:Ray project Ray Cross Language Task Submission
- Principle:InternLM Lmdeploy Batch Text Generation
- Principle:Openai Openai agents python Function Tool Definition
- Principle:Puppeteer Puppeteer Device Emulation
- Principle:FlagOpen FlagEmbedding Query Passage Pair Formatting
- Principle:Kubeflow Pipelines Parquet Model Training
- Principle:LLMBook zh LLMBook zh github io High Throughput LLM Inference
- Principle:Openai Openai agents python Bidirectional Handoffs
- Principle:Unstructured IO Unstructured Strategy Selection
Implementations
- Implementation:Togethercomputer Together python Batches Create Batch
- Implementation:Datajuicer Data juicer EntityAttributeAggregator
- Implementation:Tensorflow Tfjs CenterCrop Layer
- Implementation:Haosulab ManiSkill EmptyEnv
- Implementation:Hiyouga LLaMA Factory V1 Inference Engine
- Implementation:Open compass VLMEvalKit MMHelix Sudoku Eval
- Implementation:ArroyoSystems Arroyo Get Connectors
- Implementation:Haosulab ManiSkill ANYmalC
- Implementation:FMInference FlexLLMGen DeepSpeed Conversion Utils
- Implementation:Alibaba MNN Onnx Export Script
Heuristics
- Heuristic:Scikit learn Scikit learn Warning Deprecated PassiveAggressive
- Heuristic:Arize ai Phoenix AIMD Concurrency Control
- Heuristic:Spcl Graph of thoughts Four Bit Quantization For Local LLMs
- Heuristic:DataExpert io Data engineer handbook Watermark Late Arrival Tolerance
- Heuristic:Apache Kafka Log4j Migration Compatibility
- Heuristic:Microsoft Playwright Timeout Configuration Tips
- Heuristic:Infiniflow Ragflow Citation Threshold Decay
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix High Res Crop Training
- Heuristic:Nautechsystems Nautilus trader Streaming Mode For Large Backtests
- Heuristic:Zai org CogVideo BF16 FP16 Precision Selection
Environments
- Environment:Fede1024 Rust rdkafka CI Test Runner
- Environment:Helicone Helicone Cloudflare Workers Runtime
- Environment:TobikoData Sqlmesh BigQuery Connection
- Environment:Alibaba ROLL ROCm GPU Environment
- Environment:Haotian liu LLaVA Python CUDA Training Environment
- Environment:SqueezeAILab ETS Evaluation Python Stack
- Environment:Kornia Kornia ONNX Runtime Environment
- Environment:Dagster io Dagster DAGSTER HOME Configuration
- Environment:Apache Dolphinscheduler Database Backend
- Environment:Lance format Lance Rust Toolchain