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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:Danijar Dreamerv3 Evaluation Only
- Workflow:Dotnet Machinelearning AutoML Experiment
- Workflow:Open compass VLMEvalKit API Model Evaluation
- Workflow:NVIDIA TransformerEngine FSDP Distributed Training
- Workflow:Marker Inc Korea AutoRAG Data Creation Pipeline
- Workflow:ThreeSR Awesome Inference Time Scaling Manual Paper Contribution
- Workflow:Promptfoo Promptfoo Custom Provider Integration
- Workflow:Neuml Txtai Semantic Search
- Workflow:Microsoft Agent framework Graph Based Workflow Execution
- Workflow:Huggingface Diffusers LoRA Finetuning
Principles
- Principle:Heibaiying BigData Notes Hive Query Execution
- Principle:Ggml org Llama cpp Logging System
- Principle:Astronomer Astronomer cosmos Graph Parsing and Task Generation
- Principle:ArroyoSystems Arroyo Checkpoint Triggering
- Principle:Scikit learn Scikit learn Anomaly Detection
- Principle:Datahub project Datahub Java Client Initialization
- Principle:EvolvingLMMs Lab Lmms eval Task Testing
- Principle:Haosulab ManiSkill Imitation Policy Training
- Principle:Google deepmind Mujoco Passive Forces
- Principle:Mlflow Mlflow Model Version Management
Implementations
- Implementation:Alibaba MNN FlatBuffers Flatc
- Implementation:Onnx Onnx OpSchema System
- Implementation:Langgenius Dify Service Access Control
- Implementation:Diagram of thought Diagram of thought Summarizer Validated Node Synthesis
- Implementation:Explodinggradients Ragas Collections RougeScore Metric
- Implementation:ArroyoSystems Arroyo Mqtt Connector
- Implementation:CARLA simulator Carla Agent Misc Utils
- Implementation:Mbzuai oryx Awesome LLM Post training Matplotlib Bar Chart
- Implementation:Apache Druid NestedColumnDialog
- Implementation:DistrictDataLabs Yellowbrick TargetType Utilities
Heuristics
- Heuristic:Fede1024 Rust rdkafka Producer Flush Before Drop
- Heuristic:Snorkel team Snorkel Precision Init Prior
- Heuristic:CrewAIInc CrewAI MCP Timeout And Retry Strategy
- Heuristic:Intel Ipex llm CCL Distributed Training Tips
- Heuristic:Microsoft DeepSpeedExamples ZeRO Inference Throughput Tuning
- Heuristic:Huggingface Diffusers LoRA Safe Fusing
- Heuristic:Fede1024 Rust rdkafka Regular Polling Required
- Heuristic:NVIDIA NeMo Aligner Warning Deprecated Repository
- Heuristic:Microsoft DeepSpeedExamples LoRA Learning Rate Scaling
- Heuristic:Openai Openai python Timeout Connection Defaults
Environments
- Environment:Infiniflow Ragflow Docker Infrastructure
- Environment:Spcl Graph of thoughts OpenAI API Access
- Environment:Diagram of thought Diagram of thought Python Graph Libraries
- Environment:Microsoft LoRA NLG Eval External Tools
- Environment:DistrictDataLabs Yellowbrick Python Scikit Learn Environment
- Environment:Astronomer Astronomer cosmos Python Airflow Runtime
- Environment:Huggingface Alignment handbook Python Transformers
- Environment:Volcengine Verl CUDA GPU Environment
- Environment:Pyro ppl Pyro Distributed Training
- Environment:Google deepmind Dm control OSMesa Software Rendering