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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:Pyro ppl Pyro VAE Training
- Workflow:Sgl project Sglang Multimodal Vision Language Inference
- Workflow:Volcengine Verl PPO Training With Reward Model
- Workflow:Scikit learn Scikit learn Data Preprocessing Pipeline
- Workflow:Allenai Open instruct SFT Finetuning
- Workflow:Fastai Fastbook NLP Text Classification
- Workflow:Huggingface Optimum Automatic Tensor Parallelization
- Workflow:Mistralai Client python Finetuning Job Management
- Workflow:Sdv dev SDV Constrained synthesis
- Workflow:Microsoft Agent framework Multi Agent Sequential Orchestration
Principles
- Principle:Kubeflow Kubeflow Tune Hyperparameters
- Principle:Webdriverio Webdriverio Page Source Analysis
- Principle:Marker Inc Korea AutoRAG Best Config Extraction
- Principle:Nautechsystems Nautilus trader Catalog Data Querying
- Principle:Huggingface Optimum Benchmarking and Evaluation
- Principle:Apache Kafka MirrorMaker Invocation
- Principle:Onnx Onnx Reference Evaluation Init
- Principle:Guardrails ai Guardrails Observability Configuration
- Principle:Snorkel team Snorkel Probabilistic Label Generation
- Principle:Promptfoo Promptfoo Result Output
Implementations
- Implementation:Apache Kafka Connect Distributed Script
- Implementation:NVIDIA DALI C API V2 Pipeline Tests
- Implementation:Apache Dolphinscheduler FailoverCoordinator WorkerFailover
- Implementation:Google deepmind Dm control Mocap Prop
- Implementation:Eventual Inc Daft LazyImport
- Implementation:TobikoData Sqlmesh Editor Context
- Implementation:Ggml org Ggml Metal impl
- Implementation:Tensorflow Tfjs CPU Dilation2D Kernel
- Implementation:Scikit learn Scikit learn ShrunkCovariance
- Implementation:Ggml org Ggml Hexagon softmax ops
Heuristics
- Heuristic:AnswerDotAI RAGatouille In Memory Reranking Limits
- Heuristic:Openai Openai python Warning Deprecated Eval Stored Completions
- Heuristic:Fastai Fastbook Batch Size Selection
- Heuristic:Langfuse Langfuse Ingestion Date Boundary Delay
- Heuristic:OpenHands OpenHands Fail Open Rate Limiting
- Heuristic:Bitsandbytes foundation Bitsandbytes Outlier Threshold Detection
- Heuristic:Dotnet Machinelearning AutoML SMAC Dimension Limit
- Heuristic:OpenRLHF OpenRLHF Value Head ZeRO3 Init Tip
- Heuristic:Turboderp org Exllamav2 Quantization Conversion Tips
- Heuristic:Recommenders team Recommenders TensorFlow Session Ordering
Environments
- Environment:Truera Trulens Snowflake Connector Environment
- Environment:Vllm project Vllm AArch64 CPU
- Environment:Sktime Pytorch forecasting Matplotlib Plotting Dependencies
- Environment:Tensorflow Serving Kubernetes Deployment Environment
- Environment:TobikoData Sqlmesh GitHub CICD Runner
- Environment:Dagster io Dagster PostgreSQL Storage
- Environment:Triton inference server Server TRT LLM Deployment
- Environment:Bitsandbytes foundation Bitsandbytes HPU Gaudi Runtime
- Environment:Farama Foundation Gymnasium JAX Functional Backend
- Environment:Ggml org Ggml C Cpp Build Environment