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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 |
Explore Pages
Workflows
- Workflow:Huggingface Diffusers Model Quantization
- Workflow:NVIDIA DALI Image Classification Training PyTorch
- Workflow:Fede1024 Rust rdkafka Produce Consume Roundtrip
- Workflow:Neuml Txtai Semantic Search
- Workflow:Triton inference server Server Custom Container Build
- Workflow:Mistralai Client python Chat Completion
- Workflow:TA Lib Ta lib python Abstract API Usage
- Workflow:Bentoml BentoML Bento Build And Containerization
- Workflow:SeleniumHQ Selenium Page Object Pattern Testing
- Workflow:Sktime Pytorch forecasting TFT Hyperparameter Optimization
Principles
- Principle:NVIDIA NeMo Aligner PPO Training
- Principle:Microsoft BIPIA Results Analysis
- Principle:Facebookresearch Habitat lab Low level Skill Training
- Principle:Teamcapybara Capybara Server Boot
- Principle:Apache Airflow Component Deployment Scaling
- Principle:DataTalksClub Data engineering zoomcamp Dbt Intermediate Layer
- Principle:FlagOpen FlagEmbedding Multi Retrieval Training
- Principle:Pola rs Polars Data Type Transformation
- Principle:Tensorflow Serving Batch Scheduling Configuration
- Principle:Fastai Fastbook Stochastic Gradient Descent
Implementations
- Implementation:Datajuicer Data juicer RayVLLMEnginePipeline Config
- Implementation:Google deepmind Dm control Variation Colors
- Implementation:Scikit learn Scikit learn BaseSearchCV Fit
- Implementation:PrefectHQ Prefect Pyproject Configuration
- Implementation:Online ml River Metrics LogLoss
- Implementation:Infiniflow Ragflow DatasetCommonItem Component
- Implementation:Apache Paimon DataTypes Python
- Implementation:Pytorch Serve Llama2 Generate
- Implementation:Spotify Luigi SparkSubmitTask Execution
- Implementation:CARLA simulator Carla Show Crosswalks Tool
Heuristics
- Heuristic:Dagster io Dagster Record Over Dataclass
- Heuristic:Haifengl Smile Quarkus Async Context Handling
- Heuristic:InternLM Lmdeploy Max Batch Size Selection
- Heuristic:Deepseek ai Janus Bfloat16 Dtype Selection
- Heuristic:Lm sys FastChat Greedy Decoding Temperature Threshold
- Heuristic:Bentoml BentoML Warning Deprecated Legacy Service
- Heuristic:DevExpress Testcafe Browser Connection Timeouts
- Heuristic:AnswerDotAI RAGatouille Auto Batch Size For Long Documents
- Heuristic:Openclaw Openclaw Plugin Dependency Gotchas
- Heuristic:Fastai Fastbook Discriminative Learning Rates
Environments
- Environment:Neuml Txtai Docker Deployment Environment
- Environment:Iamhankai Forest of Thought OpenAI API Credentials
- Environment:Google deepmind Mujoco MJX Warp CUDA Environment
- Environment:NVIDIA NeMo Curator Video Codec Stack
- Environment:Apache Beam Java Build Environment
- Environment:Sgl project Sglang Multi Platform Accelerators
- Environment:Promptfoo Promptfoo SQLite Database
- Environment:ARISE Initiative Robosuite GPU Rendering
- Environment:OpenHands OpenHands Third Party Runtime Credentials
- Environment:Risingwavelabs Risingwave Rust Build Environment