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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:Alibaba MNN Model Conversion Pipeline
- Workflow:FMInference FlexLLMGen Data Wrangling Batch Inference
- Workflow:Arize ai Phoenix Prompt Management Pipeline
- Workflow:Gretelai Gretel synthetics DGAN Timeseries Generation
- Workflow:Trailofbits Fickling PyTorch Payload Injection
- Workflow:Astronomer Astronomer cosmos Watcher execution mode
- Workflow:Apache Airflow Kubernetes Deployment via Helm
- Workflow:SqueezeAILab ETS Answer Evaluation Pipeline
- Workflow:Axolotl ai cloud Axolotl QLoRA SFT Finetuning
- Workflow:Nightwatchjs Nightwatch Programmatic API Usage
Principles
- Principle:Google deepmind Dm control Walker Selection
- Principle:Langgenius Dify Indexing Progress Monitoring
- Principle:LaurentMazare Tch rs ImageNet Preprocessing
- Principle:Huggingface Diffusers Model Publishing
- Principle:Facebookresearch Habitat lab Benchmark Configuration
- Principle:Wandb Weave Call Execution
- Principle:Online ml River Online Feature Selection
- Principle:Pytorch Serve DeepSpeed Inference
- Principle:Promptfoo Promptfoo Evaluation Execution
- Principle:Pyro ppl Pyro Prior Specification
Implementations
- Implementation:Langchain ai Langgraph UI Messages
- Implementation:Datajuicer Data juicer CsvFormatter
- Implementation:Open compass VLMEvalKit Eagle
- Implementation:Pyro ppl Pyro HorovodOptimizer
- Implementation:Sgl project Sglang Multimodal Special Tokens
- Implementation:SeleniumHQ Selenium Closure Testing MockMatchers
- Implementation:Microsoft Semantic kernel InvokePromptAsync With KernelArguments
- Implementation:Ggml org Llama cpp Common Embd Normalize
- Implementation:CARLA simulator Carla ALSM
- Implementation:LMCache LMCache TTL List Cache
Heuristics
- Heuristic:Openai Openai python Warning Deprecated Legacy Response
- Heuristic:Allenai Open instruct GPU Memory Utilization
- Heuristic:Teamcapybara Capybara Frozen Time Detection
- Heuristic:Huggingface Alignment handbook LoRA Rank Selection
- Heuristic:Protectai Modelscan Unknown Opcodes Assume Critical
- Heuristic:OpenGVLab InternVL Dynamic Resolution Tiling
- Heuristic:Datahub project Datahub Emitter Selection Strategy
- Heuristic:Ucbepic Docetl Rate Limit Exponential Backoff
- Heuristic:Gretelai Gretel synthetics GPU Memory Allow Growth
- Heuristic:CarperAI Trlx Partial Layer Freezing
Environments
- Environment:Farama Foundation Gymnasium Video Recording Dependencies
- Environment:Helicone Helicone Wrangler CLI
- Environment:Deepset ai Haystack OpenAI API Environment
- Environment:Getgauge Taiko Node Runtime
- Environment:Sail sg LongSpec Training Environment
- Environment:Langgenius Dify Vector Database Environment
- Environment:Alibaba MNN GPU CUDA Environment
- Environment:ArroyoSystems Arroyo Kubernetes Deployment
- Environment:Avhz RustQuant Rust Stable
- Environment:Puppeteer Puppeteer Configuration Environment Variables