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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:Huggingface Transformers Pipeline Inference
- Workflow:Mlc ai Web llm Basic Chat Completion
- Workflow:SeldonIO Seldon core Inference Pipeline
- Workflow:Puppeteer Puppeteer Request Interception
- Workflow:Huggingface Alignment handbook Multi Stage Post Training
- Workflow:Bigscience workshop Petals Prompt Tuning Classification
- Workflow:Ollama Ollama Safetensors To GGUF Conversion
- Workflow:Bitsandbytes foundation Bitsandbytes FSDP QLoRA Distributed Training
- Workflow:Unslothai Unsloth Vision Model Finetuning
- Workflow:Facebookresearch Audiocraft MusicGen Training Pipeline
Principles
- Principle:Langgenius Dify WorkflowArchitecture
- Principle:ClickHouse ClickHouse SIMD Memory Comparison
- Principle:ContextualAI HALOs Iterative Alignment Loop
- Principle:Togethercomputer Together python Chat Completion Response
- Principle:Webdriverio Webdriverio BrowserDetection
- Principle:Promptfoo Promptfoo Vulnerability Grading
- Principle:Astronomer Astronomer cosmos Profile Configuration
- Principle:OpenRLHF OpenRLHF DPO Loss Computation
- Principle:Bigscience workshop Petals Distributed Model Configuration
- Principle:Alibaba ROLL MCoreAdapter Distributed Training
Implementations
- Implementation:Bentoml BentoML Service Loader
- Implementation:Guardrails ai Guardrails Pydantic Utils
- Implementation:Kubeflow Kubeflow WG Tracking Issues
- Implementation:Microsoft BIPIA Tokenize Fn
- Implementation:Apache Flink HadoopInputs
- Implementation:Mage ai Mage ai Twitter Ads Tap Init
- Implementation:Microsoft Agent framework SequentialBuilder Init
- Implementation:Hpcaitech ColossalAI Prepare Dataset Preference
- Implementation:CARLA simulator Carla LifetimeProfiled
- Implementation:Axolotl ai cloud Axolotl Load Processor
Heuristics
- Heuristic:Isaac sim IsaacGymEnvs DR Setup Only Flag
- Heuristic:Marker Inc Korea AutoRAG Module Selection Strategies
- Heuristic:Getgauge Taiko Element Actionability Checks
- Heuristic:Haifengl Smile Quarkus Async Context Handling
- Heuristic:OpenRLHF OpenRLHF Gradient Checkpointing Memory Tip
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix Batch Size One Default
- Heuristic:Openai Openai node Warning Deprecated Assistants API
- Heuristic:Bentoml BentoML Worker Count Strategy
- Heuristic:Apache Airflow Database Lock Handling
- Heuristic:Kserve Kserve VLLM GPU Memory Utilization
Environments
- Environment:Apache Druid Integration Test Docker
- Environment:Spotify Luigi Apache Spark
- Environment:Truera Trulens Python Core Environment
- Environment:Sdv dev SDV GPU CUDA Support
- Environment:Fede1024 Rust rdkafka CI Test Runner
- Environment:Deepset ai Haystack OpenAI API Environment
- Environment:Spcl Graph of thoughts OpenAI API Access
- Environment:Intel Ipex llm vLLM XPU Serving Environment
- Environment:Guardrails ai Guardrails LLM Provider API Keys
- Environment:Zai org CogVideo Diffusers Inference Environment