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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:Langgenius Dify Visual Workflow Builder
- Workflow:Axolotl ai cloud Axolotl Full Finetuning Distributed
- Workflow:Microsoft Playwright AI agent driven testing
- Workflow:TA Lib Ta lib python Candlestick Pattern Recognition
- Workflow:Pytorch Serve LLM Deployment vLLM
- Workflow:Teamcapybara Capybara Custom Selector Definition
- Workflow:Fastai Fastbook Tabular Modeling
- Workflow:AUTOMATIC1111 Stable diffusion webui Checkpoint merging
- Workflow:Lakeraai Pint benchmark Custom Dataset Benchmarking
- Workflow:Neuml Txtai Semantic Search
Principles
- Principle:Mlc ai Mlc llm Model Weight Acquisition
- Principle:Mlflow Mlflow Evaluation Result Analysis
- Principle:Tensorflow Serving Batch Scheduling Configuration
- Principle:Interpretml Interpret Bagged Gradient Boosting
- Principle:Webdriverio Webdriverio AutomaticDriverManagement
- Principle:Kserve Kserve OpenAI Compatible Inference
- Principle:Haosulab ManiSkill Rotation Geometry Operations
- Principle:Kubeflow Kubeflow Issue Routing Configuration
- Principle:Kubeflow Kubeflow Pull Request Submission
- Principle:Apache Dolphinscheduler Node Failure Detection
Implementations
- Implementation:Open compass VLMEvalKit MMGenBench
- Implementation:SeleniumHQ Selenium HasCdp
- Implementation:Rapidsai Cuml Permutation SHAP
- Implementation:Haosulab ManiSkill PartNetFaucetMeta
- Implementation:Bentoml BentoML HuggingFaceModel Descriptor
- Implementation:Microsoft Autogen Studio MCP Tools Tab
- Implementation:Cohere ai Cohere python ClassifyResponseItem Model
- Implementation:Gretelai Gretel synthetics DataFrameBatch Init
- Implementation:Farama Foundation Gymnasium Vector NormalizeReward
- Implementation:FlowiseAI Flowise SuggestionOption
Heuristics
- Heuristic:DistrictDataLabs Yellowbrick Elbow Knee Detection Sensitivity
- Heuristic:Mbzuai oryx Awesome LLM Post training Depth Limit Recursion At 2
- Heuristic:Lance format Lance IO Buffer And Batch Sizing
- Heuristic:Snorkel team Snorkel NLP Preprocessor Memoization
- Heuristic:Spcl Graph of thoughts Budget Gated Benchmark Execution
- Heuristic:CarperAI Trlx PEFT LoRA Integration
- Heuristic:Openai Openai node Warning Deprecated Beta Realtime
- Heuristic:AnswerDotAI RAGatouille Auto Batch Size For Long Documents
- Heuristic:Unstructured IO Unstructured Hi Res Model Configuration
- Heuristic:Apache Spark Build Fallback Strategies
Environments
- Environment:Risingwavelabs Risingwave Java Connector Environment
- Environment:Treeverse LakeFS S3 Gateway Test Environment
- Environment:Sgl project Sglang ROCm
- Environment:Microsoft Semantic kernel ONNX CUDA Environment
- Environment:Huggingface Datatrove Inference GPU Environment
- Environment:Vllm project Vllm CUDA Runtime
- Environment:Volcengine Verl SGLang Rollout Environment
- Environment:Helicone Helicone Docker Compose Infrastructure
- Environment:Risingwavelabs Risingwave Python Tooling Environment
- Environment:Treeverse LakeFS Web UI Environment