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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:Pytorch Serve Large Model Inference
- Workflow:Haotian liu LLaVA Benchmark Evaluation
- Workflow:AUTOMATIC1111 Stable diffusion webui LoRA network application
- Workflow:Isaac sim IsaacGymEnvs RL Policy Training
- Workflow:Langchain ai Langchain Chat Model Invocation
- Workflow:Deepspeedai DeepSpeed Inference Engine Optimization
- Workflow:Pola rs Polars DataFrame Aggregation and Grouping
- Workflow:ArroyoSystems Arroyo UDF Development
- Workflow:ClickHouse ClickHouse Running Stateless Tests
- Workflow:Ollama Ollama Custom Model Creation
Principles
- Principle:Scikit learn contrib Imbalanced learn Under Sampling Base Abstraction
- Principle:Openai Openai python Input Token Counting
- Principle:Explodinggradients Ragas Functional Metric Definition
- Principle:AUTOMATIC1111 Stable diffusion webui Settings Management
- Principle:Google deepmind Dm control MJCF Model Attachment
- Principle:ARISE Initiative Robomimic Observation Initialization
- Principle:Intel Ipex llm LLM Initialization LangChain
- Principle:Scikit learn Scikit learn Naive Bayes Classification
- Principle:Tensorflow Serving Manager Construction
- Principle:Datajuicer Data juicer Configuration Initialization
Implementations
- Implementation:SeleniumHQ Selenium Closure Math Vec2
- Implementation:Farama Foundation Gymnasium Gymnasium Register
- Implementation:Langgenius Dify Service Base
- Implementation:Open compass VLMEvalKit WorldSense Utils
- Implementation:Fastai Fastbook Pandas Read Csv
- Implementation:Googleapis Python genai Part From Text
- Implementation:Nightwatchjs Nightwatch Page Object Type Definitions
- Implementation:CARLA simulator Carla MapData
- Implementation:Ollama Ollama ParseFile
- Implementation:Speechbrain Speechbrain Train SLURP NLU
Heuristics
- Heuristic:Huggingface Optimum Device Offload Constraints
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix Instance Norm for Multi GPU
- Heuristic:Apache Airflow Scheduler Performance Tuning
- Heuristic:MarketSquare Robotframework browser GRPC Response Chunking
- Heuristic:Helicone Helicone Rate Limiting Fail Open
- Heuristic:Online ml River HST Feature Scaling Requirement
- Heuristic:Deepset ai Haystack Pipeline Max Runs Safety Limit
- Heuristic:ClickHouse ClickHouse Jemalloc Production Requirement
- Heuristic:Open compass VLMEvalKit SKIP ERR For Graceful Inference
- Heuristic:HKUDS AI Trader Sortino Ratio Capping
Environments
- Environment:Nightwatchjs Nightwatch BrowserStack Cloud
- Environment:Run llama Llama index OpenAI API Configuration
- Environment:Tensorflow Tfjs Browser Runtime
- Environment:Openai Openai python Azure OpenAI
- Environment:Mlfoundations Open flamingo HuggingFace Open CLIP Dependencies
- Environment:Eric mitchell Direct preference optimization HuggingFace Transformers
- Environment:BerriAI Litellm Observability Stack
- Environment:NVIDIA DALI CMake Build Environment
- Environment:Puppeteer Puppeteer Cross Platform Browser Environment
- Environment:LMCache LMCache NIXL Transfer Library