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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:Deepset ai Haystack Document Indexing Pipeline
- Workflow:Sgl project Sglang Multimodal Vision Language Inference
- Workflow:Eventual Inc Daft Data Lakehouse ETL
- Workflow:ClickHouse ClickHouse Building From Source
- Workflow:Langchain ai Langchain Release Process
- Workflow:Langfuse Langfuse Evaluation pipeline
- Workflow:Apache Beam Dataflow Streaming Execution
- Workflow:Apache Paimon Table Read Write
- Workflow:Hiyouga LLaMA Factory LoRA SFT Finetuning
- Workflow:Datahub project Datahub Docker Quickstart Deployment
Principles
- Principle:Triton inference server Server Health Check API
- Principle:Farama Foundation Gymnasium Composite Space Types
- Principle:HKUDS AI Trader Price Data Fetching
- Principle:Bitsandbytes foundation Bitsandbytes CI CD Build Pipeline
- Principle:Scikit learn Scikit learn Classification Prediction
- Principle:Iterative Dvc Workspace Checkout
- Principle:Ollama Ollama Model Manifest Creation
- Principle:Google deepmind Mujoco Sparse Computation
- Principle:Langgenius Dify Security
- Principle:Mlflow Mlflow Prompt Loading and Formatting
Implementations
- Implementation:Gretelai Gretel synthetics DataFrameBatch Create Training Data
- Implementation:Bentoml BentoML YataiClient
- Implementation:Ollama Ollama Llama Model T5 Encoder
- Implementation:Microsoft Autogen Studio Builder Store
- Implementation:Eventual Inc Daft Arrow Utils
- Implementation:Ollama Ollama Imagegen GPT OSS
- Implementation:Explodinggradients Ragas Utils Module
- Implementation:TobikoData Sqlmesh Tracker Plan Apply
- Implementation:Langchain ai Langchain EmbeddingsUnitTests
- Implementation:Mistralai Client python Models And Files Management
Heuristics
- Heuristic:Bigscience workshop Petals NF4 Quantization Default On CUDA
- Heuristic:Haosulab ManiSkill Physics Solver Tuning
- Heuristic:Evidentlyai Evidently Statistical Test Auto Selection
- Heuristic:Allenai Open instruct GPU Memory Utilization
- Heuristic:SqueezeAILab ETS Max Depth And Token Guards
- Heuristic:Bigscience workshop Petals KV Cache Sizing For Attention Types
- Heuristic:Haifengl Smile Quarkus Async Context Handling
- Heuristic:Apache Dolphinscheduler Gzip Compression Threshold
- Heuristic:Helicone Helicone ClickHouse ReplacingMergeTree FINAL
- Heuristic:Unstructured IO Unstructured Strategy Fallback Chain
Environments
- Environment:Openai Openai node OpenAI API Credentials
- Environment:Mistralai Client python Azure Deployment Environment
- Environment:Huggingface Alignment handbook DeepSpeed Multi Node
- Environment:Apache Dolphinscheduler Java Runtime
- Environment:Microsoft DeepSpeedExamples CIFAR10 Training Environment
- Environment:Lakeraai Pint benchmark Python 310 With Pandas
- Environment:Ucbepic Docetl Python Runtime
- Environment:Mlflow Mlflow GPU System Metrics Environment
- Environment:Openai Openai python Voice Helpers
- Environment:Shiyu coder Kronos DDP Multi GPU Environment