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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 Supervised Fine Tuning
- Workflow:PeterL1n BackgroundMattingV2 Video matting inference
- Workflow:Nautechsystems Nautilus trader Live trading deployment
- Workflow:Openai Openai agents python Guardrails Secured Agent
- Workflow:Trailofbits Fickling PyTorch Payload Injection
- Workflow:Huggingface Trl PPO RLHF Training
- Workflow:Triton inference server Server Ensemble Model Pipeline
- Workflow:Treeverse LakeFS Garbage Collection
- Workflow:Datahub project Datahub Python Metadata Emission
- Workflow:Evidentlyai Evidently Text Data Quality Evaluation
Principles
- Principle:Treeverse LakeFS Integration Test Utilities
- Principle:Confident ai Deepeval API Key Management
- Principle:Langchain ai Langgraph Entrypoint Definition
- Principle:Apache Airflow Provider Documentation
- Principle:ClickHouse ClickHouse Client Package Configuration
- Principle:Duckdb Duckdb Fast Number Parsing
- Principle:Lakeraai Pint benchmark Dataset Preparation
- Principle:Apache Kafka Coordinator Metadata Propagation
- Principle:Treeverse LakeFS S3 Path Mapping
- Principle:TA Lib Ta lib python Streaming Data Buffering
Implementations
- Implementation:Ollama Ollama Mtmd API
- Implementation:Online ml River Datasets Higgs
- Implementation:Open compass VLMEvalKit Dynamath
- Implementation:Arize ai Phoenix Legacy GoogleGenAIModel
- Implementation:Tensorflow Tfjs Layer Trainable Setter
- Implementation:NVIDIA TransformerEngine QuantizedTensor
- Implementation:Openai Openai node Browser Import Lockfile
- Implementation:LMCache LMCache Redis Connector
- Implementation:NVIDIA TransformerEngine JAX Hadamard
- Implementation:Datahub project Datahub DataHubGuidGenerator
Heuristics
- Heuristic:Ggml org Llama cpp Thread Count Tuning
- Heuristic:Princeton nlp SimPO Concatenated Forward Pass
- Heuristic:Microsoft Autogen Agent Thread Safety
- Heuristic:Facebookresearch Audiocraft Gradient Balancing For Multi Loss
- Heuristic:Apache Paimon File Sizing and Split Planning
- Heuristic:Protectai Modelscan Nested Zip Not Supported
- Heuristic:Vibrantlabsai Ragas Reasoning Model Parameter Constraints
- Heuristic:Ggml org Llama cpp Warning Deprecated Legacy Converters
- Heuristic:Deepset ai Haystack BM25 Score Scaling
- Heuristic:DistrictDataLabs Yellowbrick Matplotlib rcParams Management
Environments
- Environment:Dagster io Dagster Python 3 10 Runtime
- Environment:Volcengine Verl vLLM Rollout Environment
- Environment:Huggingface Diffusers Quantization Environment
- Environment:Openai Openai agents python Voice Dependencies
- Environment:Risingwavelabs Risingwave Rust Build Environment
- Environment:Ggml org Ggml C Cpp Build Environment
- Environment:Kserve Kserve GPU Accelerator
- Environment:Apache Dolphinscheduler Netty Runtime
- Environment:Sgl project Sglang CUDA
- Environment:Alibaba MNN ARM Mobile Environment