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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:Volcengine Verl Data Preprocessing For RL
- Workflow:Neuml Txtai Workflow Orchestration
- Workflow:Langchain ai Langgraph Human in the Loop Agent
- Workflow:CrewAIInc CrewAI Crew Training And Testing
- Workflow:Openai Openai node Fine Tuning
- Workflow:Kubeflow Pipelines Iterative Model Training
- Workflow:Huggingface Alignment handbook QLoRA Single GPU Finetuning
- Workflow:Ucbepic Docetl YAML Pipeline Execution
- Workflow:Apache Kafka PR Merge And Backport
- Workflow:Run llama Llama index Evaluation Pipeline
Principles
- Principle:Axolotl ai cloud Axolotl LoRA Merging
- Principle:Huggingface Trl Reward Function Definition
- Principle:Apache Dolphinscheduler Connection Parameter Definition
- Principle:Avhz RustQuant SABR Volatility
- Principle:Ggml org Llama cpp PEG Parser Framework
- Principle:Webdriverio Webdriverio Test Observability
- Principle:Helicone Helicone Infrastructure Services
- Principle:PrefectHQ Prefect Deployment Configuration Validation
- Principle:Online ml River Probabilistic Data Structures
- Principle:Onnx Onnx External Data Conversion
Implementations
- Implementation:OpenHands OpenHands DeviceCodeStore
- Implementation:Ucbepic Docetl LinkResolveOperation Execute
- Implementation:BerriAI Litellm Fine Tuning Job Operations
- Implementation:Online ml River Tree Nodes EFDTC
- Implementation:Bitsandbytes foundation Bitsandbytes BitsAndBytesConfig 4bit
- Implementation:Protectai Llm guard Sensitive
- Implementation:Microsoft LoRA Utils QA
- Implementation:Haosulab ManiSkill ShaderConfig
- Implementation:Iamhankai Forest of Thought Parse Args
- Implementation:Microsoft DeepSpeedExamples ViT ImageNet Finetuning
Heuristics
- Heuristic:PacktPublishing LLM Engineers Handbook Chunking Strategy By Content Type
- Heuristic:Apache Airflow DAG Complexity Reduction
- Heuristic:Puppeteer Puppeteer Firefox Single Process Workaround
- Heuristic:Mit han lab Llm awq Kernel Selection Thresholds
- Heuristic:DevExpress Testcafe MacOS Browser Launch Serialization
- Heuristic:Huggingface Transformers Gradient Checkpointing Memory Tradeoff
- Heuristic:Norrrrrrr lyn WAInjectBench NaN Inf Fallback FP32 Recovery
- Heuristic:TA Lib Ta lib python Unstable Period Configuration
- Heuristic:Apache Spark Memory Tuning Tips
- Heuristic:Datahub project Datahub Emitter Selection Strategy
Environments
- Environment:Google deepmind Dm control Python MuJoCo Runtime
- Environment:Mistralai Client python GCP Deployment Environment
- Environment:Microsoft BIPIA DeepSpeed Finetuning Environment
- Environment:Anthropics Anthropic sdk python GCP Vertex Environment
- Environment:Vllm project Vllm NVIDIA CUDA
- Environment:Trailofbits Fickling Python Runtime
- Environment:Pytorch Serve vLLM Engine Environment
- Environment:Mistralai Client python Azure Deployment Environment
- Environment:Hpcaitech ColossalAI GRPO Distributed Environment
- Environment:Interpretml Interpret Blackbox Explainer Dependencies