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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:Nightwatchjs Nightwatch Custom Commands And Assertions
- Workflow:Scikit learn Scikit learn Ensemble Model Building
- Workflow:Unstructured IO Unstructured Performance Profiling
- Workflow:Volcengine Verl Vision Language Model RL Training
- Workflow:Microsoft Agent framework Graph Based Workflow Execution
- Workflow:Ray project Ray Serve Deployment
- Workflow:Scikit learn contrib Imbalanced learn Balanced Deep Learning Training
- Workflow:DevExpress Testcafe CI Integration
- Workflow:Eventual Inc Daft Multimodal AI Batch Inference
- Workflow:Langfuse Langfuse Prompt management lifecycle
Principles
- Principle:Apache Shardingsphere Compute Node Registration
- Principle:Tensorflow Serving Batch Scheduling Configuration
- Principle:Cypress io Cypress Browser Test Execution
- Principle:Ggml org Llama cpp Server Startup
- Principle:Pyro ppl Pyro Probabilistic Modeling
- Principle:NVIDIA NeMo Aligner Rejection Sampling Training
- Principle:Togethercomputer Together python Chat Completion Request
- Principle:Protectai Modelscan Model Security Scanning
- Principle:Scikit learn contrib Imbalanced learn Easy Ensemble
- Principle:Iamhankai Forest of Thought CGDM Answer Selection
Implementations
- Implementation:Isaac sim IsaacGymEnvs FactoryTask Training Loop
- Implementation:LaurentMazare Tch rs PyTorch Declarations Yaml
- Implementation:Open compass VLMEvalKit WorldSense Utils
- Implementation:Predibase Lorax Flash Qwen Modeling
- Implementation:NVIDIA DALI C API V2 Data Objects
- Implementation:Run llama Llama index Download Module
- Implementation:Mlc ai Mlc llm Conversation Protocol
- Implementation:Puppeteer Puppeteer EventEmitter
- Implementation:Google deepmind Mujoco Engine Memory
- Implementation:LLMBook zh LLMBook zh github io DataCollatorForSupervisedDataset
Heuristics
- Heuristic:Scikit learn contrib Imbalanced learn Sparse Matrix Handling
- Heuristic:PacktPublishing LLM Engineers Handbook Temperature Selection By Task
- Heuristic:Zai org CogVideo Frame Count and Resolution Constraints
- Heuristic:Wandb Weave Sentinel Value Handling
- Heuristic:HKUDS AI Trader Market Type Auto Detection
- Heuristic:Speechbrain Speechbrain GAN Dual Optimizer Pattern
- Heuristic:Pyro ppl Pyro Numerical Stability Patterns
- Heuristic:Mlfoundations Open flamingo Loss Masking Strategy
- Heuristic:Microsoft LoRA Warning Deprecated Legacy Examples
- Heuristic:Recommenders team Recommenders Test Timing Budgets
Environments
- Environment:Haosulab ManiSkill GPU CUDA Simulation
- Environment:Hiyouga LLaMA Factory Distributed Training Environment
- Environment:Cypress io Cypress Browser Requirements
- Environment:Huggingface Optimum Tensor Parallelization Environment
- Environment:Neuml Txtai Docker Deployment Environment
- Environment:Helicone Helicone Python ClickHouse Migrations
- Environment:Sgl project Sglang ROCm
- Environment:Eric mitchell Direct preference optimization HuggingFace Transformers
- Environment:Guardrails ai Guardrails Python 3 10 Runtime
- Environment:Protectai Modelscan H5py Optional