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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:Vespa engine Vespa Document indexing pipeline
- Workflow:Protectai Llm guard LLM Input Output Scanning
- Workflow:VainF Torch Pruning CNN Pruning
- Workflow:Ggml org Ggml Model Conversion And Quantization
- Workflow:Mistralai Client python GCP Chat Completion
- Workflow:Predibase Lorax OpenAI Chat Completion
- Workflow:Turboderp org Exllamav2 Interactive Chat
- Workflow:Ggml org Ggml Backend Accelerated Computation
- Workflow:Vllm project Vllm OpenAI Compatible Serving
- Workflow:Apache Airflow Kubernetes Deployment via Helm
Principles
- Principle:Cypress io Cypress Framework Detection
- Principle:Huggingface Open r1 Benchmark Evaluation
- Principle:Predibase Lorax Model Registry Selection
- Principle:Kubeflow Kubeflow Prerequisites Validation
- Principle:CARLA simulator Carla Simulation Replay
- Principle:Ggml org Ggml ZDNN Accelerated Computation
- Principle:Kserve Kserve Serving Runtime Configuration
- Principle:Allenai Open instruct DPO Loss
- Principle:Mlflow Mlflow Database Schema Management
- Principle:HKUDS AI Trader A Share Data Fetching
Implementations
- Implementation:Kubeflow Pipelines PipelineTask Configuration Methods
- Implementation:Recommenders team Recommenders DeepRec Iterator
- Implementation:Fastai Fastbook Tabular Learner
- Implementation:Langfuse Langfuse Table Filter Schema Definitions
- Implementation:Explodinggradients Ragas Edited Chain Runs Schema
- Implementation:Datajuicer Data juicer Quality Classifier Eval
- Implementation:Mbzuai oryx Awesome LLM Post training Matplotlib Bar Chart
- Implementation:Alibaba MNN Protobuf Map Entry Lite H
- Implementation:Apache Druid WorkbenchHistory
- Implementation:Getgauge Taiko Element Base
Heuristics
- Heuristic:Openai Openai node Warning Deprecated Beta Realtime
- Heuristic:BerriAI Litellm SSL Cipher Optimization
- Heuristic:Infiniflow Ragflow Agent Max Rounds Strategy
- Heuristic:Volcengine Verl Inplace Operations OOM Prevention
- Heuristic:Volcengine Verl Sequence Length Balancing
- Heuristic:Marker Inc Korea AutoRAG OpenAI Rate Limit Mitigation
- Heuristic:Ggml org Ggml Quantization Type Selection
- Heuristic:MaterializeInc Materialize CI Agent Prioritization
- Heuristic:HKUDS AI Trader A Share Lot Size Rule
- Heuristic:ARISE Initiative Robomimic Data Worker Tuning By Modality
Environments
- Environment:Openai Openai node WebSocket Dependency
- Environment:EvolvingLMMs Lab Lmms eval API Credentials Environment
- Environment:Huggingface Optimum Python Core Dependencies
- Environment:DistrictDataLabs Yellowbrick Python Scikit Learn Environment
- Environment:Microsoft BIPIA DeepSpeed Finetuning Environment
- Environment:Nautechsystems Nautilus trader Databento API Credentials
- Environment:Huggingface Alignment handbook PyTorch CUDA
- Environment:Apache Spark Release Build Environment
- Environment:Apache Airflow Python Runtime Environment
- Environment:Spcl Graph of thoughts OpenAI API Access