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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:MaterializeInc Materialize Integration Test Development
- Workflow:TA Lib Ta lib python Streaming Indicator Computation
- Workflow:Fastai Fastbook Tabular Modeling
- Workflow:Microsoft Agent framework Multi Agent Concurrent Orchestration
- Workflow:Elevenlabs Elevenlabs python Conversational AI Agent
- Workflow:Facebookresearch Audiocraft MusicGen Text To Music Inference
- Workflow:PrefectHQ Prefect Database Cleanup With Approval
- Workflow:Triton inference server Server Model Performance Tuning
- Workflow:Openai Openai node Realtime Conversation
- Workflow:CarperAI Trlx RLHF Summarization Pipeline
Principles
- Principle:Microsoft LoRA HF Trainer LoRA Training
- Principle:Promptfoo Promptfoo Evaluation Execution
- Principle:SeldonIO Seldon core Usage Metrics Collection
- Principle:OpenRLHF OpenRLHF Prompt Dataset Construction
- Principle:DataTalksClub Data engineering zoomcamp Loading Path Selection
- Principle:OpenBMB UltraFeedback Environment Setup
- Principle:FlowiseAI Flowise Vector Store Upsert
- Principle:Vespa engine Vespa Subscriber Shutdown
- Principle:Unstructured IO Unstructured Section Aware Chunking
- Principle:Spcl Graph of thoughts Validation And Improvement
Implementations
- Implementation:Huggingface Datasets Dataset From Pandas
- Implementation:Vllm project Vllm Marlin Generate Kernels
- Implementation:Protectai Llm guard Output Toxicity
- Implementation:Confident ai Deepeval GEval
- Implementation:TA Lib Ta lib python Get Functions API
- Implementation:Apache Paimon Range
- Implementation:Sktime Pytorch forecasting Trainer Fit
- Implementation:ClickHouse ClickHouse Clickhouse Client Health Check
- Implementation:Openai Openai node JSONSchema Types
- Implementation:Pyro ppl Pyro NanMaskedDistributions
Heuristics
- Heuristic:Mlc ai Mlc llm Engine Mode Selection
- Heuristic:NVIDIA NeMo Curator GPU Memory Resource Allocation
- Heuristic:Intel Ipex llm DeepSpeed Tensor Parallel Tips
- Heuristic:Mage ai Mage ai Batch Size Tuning
- Heuristic:Ggml org Ggml Sampling Parameter Defaults
- Heuristic:Huggingface Alignment handbook LoRA Rank Selection
- Heuristic:Tencent Ncnn Letterbox Vs Direct Resize
- Heuristic:Dotnet Machinelearning Numerical Stability Guards
- Heuristic:Apache Airflow DAG Top Level Code Avoidance
- Heuristic:DataTalksClub Data engineering zoomcamp Kafka Consumer Poll Timeout
Environments
- Environment:Lakeraai Pint benchmark Python 310 With Pandas
- Environment:Risingwavelabs Risingwave Rust Build Environment
- Environment:Alibaba ROLL Python Runtime Environment
- Environment:Mlflow Mlflow OpenAI LLM Integration Environment
- Environment:Ggml org Llama cpp Metal GPU Environment
- Environment:Heibaiying BigData Notes Storm 1 2 Environment
- Environment:Evidentlyai Evidently SQL Storage Environment
- Environment:Gretelai Gretel synthetics Python Base Environment
- Environment:Getgauge Taiko Linux System Libraries
- Environment:SeleniumHQ Selenium Grid Deployment Environment