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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:Microsoft Agent framework Agent With Tool Approval
- Workflow:Hiyouga LLaMA Factory PPO RLHF Training
- Workflow:Protectai Modelscan Programmatic Model Scanning
- Workflow:Volcengine Verl GRPO Training Pipeline
- Workflow:MarketSquare Robotframework browser Installation and Setup
- Workflow:Unslothai Unsloth Vision Model Finetuning
- Workflow:Huggingface Peft LoRA Embedding Semantic Search
- Workflow:Huggingface Transformers Model Training With Trainer
- Workflow:Onnx Onnx Version Conversion
- Workflow:Arize ai Phoenix Dataset and Experiment Lifecycle
Principles
- Principle:Mistralai Client python Stream Lifecycle Management
- Principle:Guardrails ai Guardrails Hub Submission
- Principle:Google deepmind Mujoco PGS Solver
- Principle:Google deepmind Mujoco Scene Rendering
- Principle:Huggingface Transformers Model Evaluation
- Principle:MarketSquare Robotframework browser Library Import and Configuration
- Principle:EvolvingLMMs Lab Lmms eval Data Tooling
- Principle:Bigscience workshop Petals Chatbot Model Loading
- Principle:Ggml org Ggml Python Tensor Interop
- Principle:Vllm project Vllm Multimodal Output Processing
Implementations
- Implementation:Unslothai Unsloth Llama4 MoE Block
- Implementation:Microsoft Autogen Studio Component Editor
- Implementation:Promptfoo Promptfoo CSV Parser
- Implementation:Allenai Open instruct SFTDatasetProcessor
- Implementation:Hiyouga LLaMA Factory Pairwise Processor
- Implementation:Online ml River Tree MondrianTreeNodes
- Implementation:Open compass VLMEvalKit TaichuVLWrapper
- Implementation:Infiniflow Ragflow TagWordCloud Component
- Implementation:Huggingface Trl AutoModelForCausalLM From Pretrained DPO
- Implementation:Hpcaitech ColossalAI SafetyBenchZHDataset
Heuristics
- Heuristic:Apache Flink Bin Packing Complexity Guard
- Heuristic:OpenHands OpenHands Fail Open Rate Limiting
- Heuristic:Google research Deduplicate text datasets Variable Width Pointer Optimization
- Heuristic:ThreeSR Awesome Inference Time Scaling Empty Venue Default Tip
- Heuristic:Scikit learn contrib Imbalanced learn Sampling Strategy Selection
- Heuristic:Arize ai Phoenix Environment Variable Precedence
- Heuristic:Cleanlab Cleanlab Label Quality Scoring Method Selection
- Heuristic:Promptfoo Promptfoo WAL Mode Network Filesystem
- Heuristic:Apache Druid Capability Detection Strategy
- Heuristic:Apache Druid Auto Granularity Selection
Environments
- Environment:Datajuicer Data juicer LLM API Credentials Environment
- Environment:Openclaw Openclaw Docker Deployment Environment
- Environment:Haotian liu LLaVA Python CUDA Training Environment
- Environment:Run llama Llama index OpenAI API Configuration
- Environment:Vllm project Vllm NVIDIA CUDA
- Environment:CarperAI Trlx Python Accelerate
- Environment:Mlc ai Mlc llm WebGPU Browser Environment
- Environment:Eventual Inc Daft Python PyArrow Core
- Environment:Volcengine Verl vLLM Rollout Environment
- Environment:Cohere ai Cohere python Python SDK Runtime