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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:Tensorflow Tfjs GPT2 Text Generation
- Workflow:Spcl Graph of thoughts GoT Keyword Counting Pipeline
- Workflow:Getgauge Taiko Form Interaction Testing
- Workflow:MaterializeInc Materialize Upgrade Testing
- Workflow:CrewAIInc CrewAI Hierarchical Crew Execution
- Workflow:Unslothai Unsloth GRPO Reinforcement Learning
- Workflow:Openclaw Openclaw Docker Deployment
- Workflow:Scikit learn Scikit learn Data Preprocessing Pipeline
- Workflow:Dotnet Machinelearning Text Classification
- Workflow:Astronomer Astronomer cosmos TaskGroup dbt integration
Principles
- Principle:Pyro ppl Pyro Directional Statistics
- Principle:Intel Ipex llm DPO Data Preparation
- Principle:Liu00222 Open Prompt Injection Binary Search Localization
- Principle:CrewAIInc CrewAI Output Processing
- Principle:Mit han lab Llm awq Streaming Text Generation
- Principle:Facebookresearch Audiocraft JASCO Generation Configuration
- Principle:Apache Paimon Table Writing
- Principle:Vespa engine Vespa Runtime Level Control
- Principle:ARISE Initiative Robosuite Trajectory Interpolation
- Principle:Huggingface Transformers Modular Model Architecture
Implementations
- Implementation:LaurentMazare Tch rs RNN
- Implementation:OpenHands OpenHands AuthTokenStore
- Implementation:Openai Openai node JSONSchema Types
- Implementation:CARLA simulator Carla Road Map Interface
- Implementation:Microsoft Onnxruntime CUDA LayerNormGrad
- Implementation:Webdriverio Webdriverio MSPO Optimizer
- Implementation:Online ml River Forest ARFClassifier
- Implementation:Turboderp org Exllamav2 Ext Bindings
- Implementation:Teamcapybara Capybara Selector Label
- Implementation:FMInference FlexLLMGen HELM Scenario Pipeline
Heuristics
- Heuristic:Haotian liu LLaVA Gradient Checkpointing Memory Optimization
- Heuristic:Onnx Onnx Warning Deprecated InlineSelectedFunctions
- Heuristic:Alibaba ROLL Gradient Checkpointing Recomputation
- Heuristic:Unslothai Unsloth VLLM Memory Utilization
- Heuristic:Huggingface Peft RSLoRA Scaling
- Heuristic:Promptfoo Promptfoo WAL Mode Network Filesystem
- Heuristic:Pyro ppl Pyro MCMC Warmup Adaptation
- Heuristic:Ggml org Ggml Gradient Accumulation Batch Sizing
- Heuristic:CARLA simulator Carla PID Controller Tuning
- Heuristic:Datahub project Datahub Docker Memory Preflight
Environments
- Environment:Volcengine Verl CUDA GPU Environment
- Environment:Intel Ipex llm CPU Finetuning Environment
- Environment:Microsoft Onnxruntime Python Inference Environment
- Environment:CARLA simulator Carla Build From Source Requirements
- Environment:CarperAI Trlx NeMo Megatron
- Environment:OpenBMB UltraFeedback vLLM Multi GPU Environment
- Environment:Sgl project Sglang CPU
- Environment:Fastai Fastbook Jupyter Notebook Environment
- Environment:LLMBook zh LLMBook zh github io Data Processing Environment
- Environment:Unstructured IO Unstructured Libmagic