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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:Microsoft DeepSpeedExamples ZeRO Inference
- Workflow:Openai Openai python Audio Processing
- Workflow:BerriAI Litellm SDK Completion
- Workflow:InternLM Lmdeploy W8A8 SmoothQuant Quantization
- Workflow:AUTOMATIC1111 Stable diffusion webui Textual inversion training
- Workflow:Speechbrain Speechbrain Speech Enhancement Training
- Workflow:Alibaba MNN Model Compression
- Workflow:CrewAIInc CrewAI Flow Based Orchestration
- Workflow:AUTOMATIC1111 Stable diffusion webui LoRA network application
- Workflow:Mlfoundations Open flamingo Few Shot Evaluation
Principles
- Principle:Haifengl Smile Column Selection and Filtering
- Principle:Openai Openai node Realtime Connection
- Principle:Deepset ai Haystack Semantic Answer Similarity Evaluation
- Principle:Pyro ppl Pyro Observation Conditioning
- Principle:Teamcapybara Capybara Expression Filtering
- Principle:Kubeflow Pipelines KFP UI Access
- Principle:Run llama Llama index Finetuned Model Retrieval
- Principle:Haosulab ManiSkill Lazy Controller Instantiation
- Principle:Iamhankai Forest of Thought Answer Extraction
- Principle:Ggml org Llama cpp Quantization Validation
Implementations
- Implementation:Avhz RustQuant Merton Jump Diffusion Backend
- Implementation:Online ml River Utils ParamGrid
- Implementation:Bentoml BentoML Exceptions
- Implementation:Danijar Dreamerv3 Agent Init
- Implementation:Google deepmind Dm control Padded Room
- Implementation:Ggml org Llama cpp Llama Bench
- Implementation:Lance format Lance Commit Compaction
- Implementation:ArroyoSystems Arroyo Physical Planner
- Implementation:Vespa engine Vespa Vespa Logctl
- Implementation:Open compass VLMEvalKit MEGABench Answer Str Parse
Heuristics
- Heuristic:Diagram of thought Diagram of thought Acyclicity Constraint Enforcement
- Heuristic:ClickHouse ClickHouse Jemalloc Production Requirement
- Heuristic:Facebookresearch Habitat lab DDPPO Straggler Preemption
- Heuristic:Tensorflow Serving Batching Thread Tuning
- Heuristic:DataTalksClub Data engineering zoomcamp GCS Upload Timeout Workaround
- Heuristic:Hpcaitech ColossalAI Gradient Checkpointing Memory Tip
- Heuristic:Confident ai Deepeval Async Concurrency Tuning
- Heuristic:Puppeteer Puppeteer Timeout Hierarchy
- Heuristic:Huggingface Open r1 Test Batch Early Termination
- Heuristic:Deepset ai Haystack Document Splitting Defaults
Environments
- Environment:Iamhankai Forest of Thought Python CUDA Runtime
- Environment:Microsoft Onnxruntime CPU Training Environment
- Environment:PrefectHQ Prefect AI Integration Credentials
- Environment:Kserve Kserve Cert Manager
- Environment:Deepset ai Haystack Python Runtime Environment
- Environment:Huggingface Transformers PEFT Adapter Env
- Environment:Scikit learn contrib Imbalanced learn Keras TensorFlow
- Environment:Sgl project Sglang CUDA Runtime
- Environment:ThreeSR Awesome Inference Time Scaling Python Runtime Environment
- Environment:Scikit learn Scikit learn OpenMP Thread Configuration