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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:Apache Flink File Source Pipeline
- Workflow:Run llama Llama index Evaluation Pipeline
- Workflow:Huggingface Datasets Dataset Loading and Exploration
- Workflow:Webdriverio Webdriverio Cloud Service Integration
- Workflow:Sail sg LongSpec GLIDE Draft Model Training
- Workflow:Intel Ipex llm QLoRA Finetuning
- Workflow:Groq Groq python Batch Processing
- Workflow:Duckdb Duckdb Code Generation Pipeline
- Workflow:NVIDIA DALI Object Detection Training TensorFlow
- Workflow:Sgl project Sglang Offline Batch Inference
Principles
- Principle:Mage ai Mage ai Destination State Checkpointing
- Principle:Datajuicer Data juicer Data Deduplication
- Principle:Lakeraai Pint benchmark Dataset Preparation
- Principle:Tensorflow Serving Hardware Tuning
- Principle:MarketSquare Robotframework browser Installation Verification
- Principle:Ggml org Llama cpp JSON Constrained Generation
- Principle:Unstructured IO Unstructured Pipeline Output Validation
- Principle:ClickHouse ClickHouse Interactive Client Connection
- Principle:Ggml org Ggml Hexagon DSP Computation
- Principle:FMInference FlexLLMGen CUDA Memory Access Patterns
Implementations
- Implementation:Microsoft DeepSpeedExamples GLUE Classifier BERT Large
- Implementation:Triton inference server Server GenAI Perf
- Implementation:Microsoft Playwright DefineConfig
- Implementation:Promptfoo Promptfoo Table Renderer
- Implementation:OpenHands OpenHands JiraDcIntegrationStore
- Implementation:Datajuicer Data juicer CleanEmailMapper
- Implementation:Tencent Ncnn Caffe2ncnn
- Implementation:Treeverse LakeFS Java SDK Model UIConfig
- Implementation:MarketSquare Robotframework browser Inv Lint
- Implementation:Bentoml BentoML IO Descriptor Text
Heuristics
- Heuristic:Apache Dolphinscheduler HikariCP Pool Tuning
- Heuristic:Googleapis Python genai LRO Polling Backoff
- Heuristic:DataTalksClub Data engineering zoomcamp DuckDB OOM Memory Management
- Heuristic:Diagram of thought Diagram of thought Typed Records For Auditability
- Heuristic:Haotian liu LLaVA Quantization MM Projector Exclusion
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix Image Size Multiple of Four
- Heuristic:Avdvg InjectGuard Sim K Threshold Tuning
- Heuristic:Axolotl ai cloud Axolotl Memory Optimization Tips
- Heuristic:Puppeteer Puppeteer Navigation Race Condition Avoidance
- Heuristic:Datahub project Datahub Warning Deprecated Spark Lineage Legacy
Environments
- Environment:Datahub project Datahub Frontend Build
- Environment:NVIDIA NeMo Curator Ray Cluster
- Environment:Zai org CogVideo Diffusers Inference Environment
- Environment:Google deepmind Dm control Python MuJoCo Runtime
- Environment:NVIDIA NeMo Curator Video Codec Stack
- Environment:Google research Deduplicate text datasets Rust Cargo Build Environment
- Environment:Apache Kafka Docker Build Environment
- Environment:MaterializeInc Materialize Docker Compose Runtime
- Environment:Openclaw Openclaw Gateway Network Ports
- Environment:Elevenlabs Elevenlabs python Python Httpx