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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:Cohere ai Cohere python Streaming Chat
- Workflow:VainF Torch Pruning Vision Transformer Pruning
- Workflow:Fastai Fastbook Image Classification
- Workflow:InternLM Lmdeploy W4A16 AWQ Quantization
- Workflow:Shiyu coder Kronos Single Series Prediction
- Workflow:Bigscience workshop Petals Distributed Text Generation
- Workflow:Helicone Helicone Cost Calculation Pipeline
- Workflow:Apache Kafka Docker Image Release
- Workflow:Huggingface Diffusers Text to Image Inference
- Workflow:Turboderp org Exllamav2 Multimodal Vision Inference
Principles
- Principle:DevExpress Testcafe CLI Test Run Orchestration
- Principle:Ggml org Ggml CPU Tensor Operations
- Principle:Sdv dev SDV Range Constraint
- Principle:Microsoft Autogen Result Aggregation
- Principle:Huggingface Optimum GPTQ Post Initialization
- Principle:ClickHouse ClickHouse CMake Build Configuration
- Principle:AnswerDotAI RAGatouille Trainer Initialization
- Principle:Langgenius Dify Application Bootstrap
- Principle:MaterializeInc Materialize Dbt Command Execution
- Principle:Ollama Ollama GGUF Model Conversion Bert
Implementations
- Implementation:Tencent Ncnn Mat Pixel Drawing
- Implementation:Helicone Helicone MCP Flatten Types
- Implementation:Tensorflow Serving Mnist Training Example
- Implementation:CARLA simulator Carla LifetimeProfiled
- Implementation:Vibrantlabsai Ragas ChrfScoreV2
- Implementation:Kserve Kserve LLMInferenceService Minimal CRD
- Implementation:Microsoft Playwright CrBrowser
- Implementation:Googleapis Python genai Documents
- Implementation:Getgauge Taiko Click
- Implementation:Lance format Lance Java MergeInsertParams
Heuristics
- Heuristic:Bentoml BentoML Warning Deprecated Legacy Service
- Heuristic:Wandb Weave Concurrency Deadlock Prevention
- Heuristic:Axolotl ai cloud Axolotl Attention Mechanism Selection
- Heuristic:DevExpress Testcafe MacOS Browser Launch Serialization
- Heuristic:Fede1024 Rust rdkafka Multi Version Dependency Hazard
- Heuristic:Turboderp org Exllamav2 Paged Cache Configuration
- Heuristic:SqueezeAILab ETS Embedding Model GPU Collocation
- Heuristic:Haotian liu LLaVA Gradient Checkpointing Memory Optimization
- Heuristic:Unslothai Unsloth LoRA Rank Selection
- Heuristic:Protectai Modelscan Exit Code Conventions
Environments
- Environment:Mlc ai Mlc llm CUDA GPU Environment
- Environment:Datahub project Datahub Docker Runtime
- Environment:Interpretml Interpret Visualization Environment
- Environment:OpenBMB UltraFeedback Python GPU Environment
- Environment:Mit han lab Llm awq VILA Multimodal Environment
- Environment:Dagster io Dagster Container Resource Monitoring
- Environment:DevExpress Testcafe Node Runtime
- Environment:Isaac sim IsaacGymEnvs Pip Dependencies
- Environment:ArroyoSystems Arroyo Rust Runtime
- Environment:Predibase Lorax Model Source Credentials