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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:PrefectHQ Prefect Dbt Model Orchestration
- Workflow:PeterL1n BackgroundMattingV2 Image matting inference
- Workflow:Facebookresearch Habitat lab Custom Task Extension
- Workflow:TobikoData Sqlmesh Plan and apply deployment
- Workflow:FMInference FlexLLMGen HELM Benchmark Evaluation
- Workflow:CARLA simulator Carla Sensor Data Collection
- Workflow:Bigscience workshop Petals Server Contribution
- Workflow:VainF Torch Pruning Vision Transformer Pruning
- Workflow:CARLA simulator Carla Autonomous Navigation
- Workflow:Intel Ipex llm RAG With LangChain
Principles
- Principle:Huggingface Trl GRPO Training Loop
- Principle:Huggingface Optimum Accelerated Pipeline Configuration
- Principle:Webdriverio Webdriverio ErrorHandling
- Principle:InternLM Lmdeploy Response Processing
- Principle:ARISE Initiative Robosuite Data Collection Wrapping
- Principle:Fastai Fastbook DataLoaders Creation
- Principle:Farama Foundation Gymnasium Video Recording
- Principle:Tensorflow Tfjs Graph Model Inference
- Principle:Kserve Kserve Progressive Traffic Shifting
- Principle:AUTOMATIC1111 Stable diffusion webui Learning rate scheduling
Implementations
- Implementation:Bentoml BentoML Framework TensorFlow
- Implementation:Teamcapybara Capybara Capybara Built In Drivers
- Implementation:CrewAIInc CrewAI Scrape Element Tool
- Implementation:SeleniumHQ Selenium Alert
- Implementation:InternLM Lmdeploy ModelExecutor
- Implementation:Open compass VLMEvalKit BMMR Utils
- Implementation:Apache Airflow Cherry Pick Automation
- Implementation:Microsoft Autogen Studio UI Settings
- Implementation:Apache Airflow PercentFormatRender
- Implementation:AUTOMATIC1111 Stable diffusion webui Soft Inpainting
Heuristics
- Heuristic:Apache Flink False Positive Availability Optimization
- Heuristic:Getgauge Taiko Element Actionability Checks
- Heuristic:Bentoml BentoML Thread Env Vars Setting
- Heuristic:CarperAI Trlx Partial Layer Freezing
- Heuristic:Google research Deduplicate text datasets Ulimit File Descriptors For Merge
- Heuristic:Ray project Ray Graceful Shutdown Timing
- Heuristic:Duckdb Duckdb Memory Management Rules
- Heuristic:Deepseek ai Janus CFG Weight Tuning
- Heuristic:Microsoft DeepSpeedExamples RLHF Stability Constraints
- Heuristic:Triton inference server Server Dynamic Batching Tuning
Environments
- Environment:Ucbepic Docetl Docker Deployment
- Environment:Microsoft DeepSpeedExamples CIFAR10 Training Environment
- Environment:Langgenius Dify Docker Deployment Environment
- Environment:Openai CLIP Python Dependencies
- Environment:ThreeSR Awesome Inference Time Scaling Python Runtime Environment
- Environment:Lm sys FastChat LoRA QLoRA Training Environment
- Environment:Heibaiying BigData Notes Java 8 Maven Environment
- Environment:CarperAI Trlx DeepSpeed Multi GPU
- Environment:Mistralai Client python Realtime Transcription Environment
- Environment:Infiniflow Ragflow GPU CUDA Environment