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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:Risingwavelabs Risingwave Docker Deployment
- Workflow:Norrrrrrr lyn WAInjectBench Embedding Classifier Training
- Workflow:Turboderp org Exllamav2 EXL2 Model Conversion
- Workflow:Ray project Ray Remote Task Execution
- Workflow:Cohere ai Cohere python AWS Bedrock Deployment
- Workflow:Openai Evals Running an eval set
- Workflow:Farama Foundation Gymnasium Custom Environment Creation
- Workflow:Evidentlyai Evidently Data Drift Monitoring
- Workflow:Zai org CogVideo SAT Video Generation
- Workflow:Mlflow Mlflow GenAI Evaluation
Principles
- Principle:Eventual Inc Daft Temp Table Registration
- Principle:Openai Openai python Fine Tuned Model Usage
- Principle:Microsoft Autogen Team Execution
- Principle:Helicone Helicone Client Request Interception
- Principle:ThreeSR Awesome Inference Time Scaling Maintainer Review
- Principle:Openai Evals Solver Configuration Patterns
- Principle:Predibase Lorax HTTP Client Connection
- Principle:Evidentlyai Evidently Classification Quality Evaluation
- Principle:CARLA simulator Carla A Star Route Planning
- Principle:Langgenius Dify Model Provider Management
Implementations
- Implementation:LMCache LMCache PQ Executor
- Implementation:Online ml River Datasets ImageSegments
- Implementation:ChenghaoMou Text dedup Config Loading
- Implementation:Google deepmind Dm control Environment Spec Methods
- Implementation:Gretelai Gretel synthetics DGAN Train Loop
- Implementation:Farama Foundation Gymnasium Vector ArrayConversion
- Implementation:Langgenius Dify Languages Catalog
- Implementation:ArroyoSystems Arroyo Compiling State
- Implementation:Apache Dolphinscheduler FailoverCoordinator WorkerFailover
- Implementation:Openai Openai python API Error Hierarchy
Heuristics
- Heuristic:Astronomer Astronomer cosmos Memory Optimised Imports
- Heuristic:Bigscience workshop Petals Randomized Rebalancing Intervals
- Heuristic:Ggml org Llama cpp GPU Layer Offloading Verification
- Heuristic:Pola rs Polars Avoid Lambda In Aggregation
- Heuristic:Kubeflow Pipelines Resource Sizing For Components
- Heuristic:Bigscience workshop Petals Short Inference Pool Merging
- Heuristic:CrewAIInc CrewAI LLM Provider Message Workarounds
- Heuristic:Vllm project Vllm GPU Memory Utilization Tuning
- Heuristic:ArroyoSystems Arroyo Parallelism Configuration
- Heuristic:Norrrrrrr lyn WAInjectBench LoRA Rank Alpha Selection
Environments
- Environment:FlowiseAI Flowise Database Environment
- Environment:Apache Flink Java Build Environment
- Environment:Online ml River Python Runtime Environment
- Environment:Sgl project Sglang ROCm
- Environment:Googleapis Python genai Python 3 10 SDK Runtime
- Environment:Apache Druid Integration Test Docker
- Environment:Eric mitchell Direct preference optimization HuggingFace Transformers
- Environment:PacktPublishing LLM Engineers Handbook Docker MongoDB Qdrant Infrastructure
- Environment:Huggingface Open r1 Slurm Cluster
- Environment:Ucbepic Docetl LLM API Keys