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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:Openai Openai agents python Tool Integrated Agent
- Workflow:Protectai Llm guard Scanner Benchmarking
- Workflow:Farama Foundation Gymnasium Agent Evaluation Recording
- Workflow:Astronomer Astronomer cosmos Kubernetes dbt execution
- Workflow:Axolotl ai cloud Axolotl Full Finetuning Distributed
- Workflow:LLMBook zh LLMBook zh github io Supervised Finetuning
- Workflow:Kubeflow Pipelines Pipeline Control Flow
- Workflow:Scikit learn contrib Imbalanced learn Ensemble Imbalanced Classification
- Workflow:NVIDIA TransformerEngine FSDP Distributed Training
- Workflow:Haosulab ManiSkill RL Training with PPO
Principles
- Principle:Eric mitchell Direct preference optimization SFT Checkpoint Loading
- Principle:Ggml org Llama cpp JSON Constrained Generation
- Principle:Bentoml BentoML Model Export Import
- Principle:Google deepmind Mujoco API Utilities
- Principle:Ray project Ray Named Actor Retrieval
- Principle:Ggml org Llama cpp Prompt Tokenization
- Principle:Apache Kafka Partition Load Scheduling
- Principle:Apache Kafka Release Notes Generation
- Principle:Online ml River Time Series Stream Loading
- Principle:DistrictDataLabs Yellowbrick Learning Curve Analysis
Implementations
- Implementation:Online ml River Multioutput Chain
- Implementation:Sgl project Sglang Multimodal Special Tokens
- Implementation:OWASP Www project top 10 for large language model applications VulnerabilityEntry Extract Attack Scenarios
- Implementation:Heibaiying BigData Notes Maven Packaging for Storm
- Implementation:Elevenlabs Elevenlabs python SessionStartedPayloadConfig
- Implementation:Alibaba ROLL LogitsTransferGroup
- Implementation:NVIDIA NeMo Curator ShuffleStage
- Implementation:Microsoft Agent framework Custom Aggregator Callback
- Implementation:Tensorflow Serving Basic Manager Test
- Implementation:Huggingface Datasets Xml Builder
Heuristics
- Heuristic:ContextualAI HALOs TF32 Matmul Acceleration
- Heuristic:NVIDIA TransformerEngine Build Optimization Tips
- Heuristic:Googleapis Python genai LRO Polling Backoff
- Heuristic:TA Lib Ta lib python Unstable Period Configuration
- Heuristic:Openclaw Openclaw Cache TTL Asymmetric Strategy
- Heuristic:OpenRLHF OpenRLHF Adam Offload Memory Tip
- Heuristic:DevExpress Testcafe CDP Performance Monitoring
- Heuristic:Duckdb Duckdb Unity Build Strategy
- Heuristic:Puppeteer Puppeteer Navigation Race Condition Avoidance
- Heuristic:Avhz RustQuant Discretization Scheme Selection
Environments
- Environment:VainF Torch Pruning YOLO Pruning Dependencies
- Environment:Shiyu coder Kronos DDP Multi GPU Environment
- Environment:Speechbrain Speechbrain HuggingFace Transformers
- Environment:Open compass VLMEvalKit Python Runtime Environment
- Environment:Cleanlab Cleanlab Image Quality Dependencies
- Environment:Predibase Lorax CUDA GPU Runtime
- Environment:CarperAI Trlx DeepSpeed Multi GPU
- Environment:Huggingface Datasets Audio Video Dependencies
- Environment:Huggingface Alignment handbook DeepSpeed Multi Node
- Environment:Togethercomputer Together python Fine Tuning Data Requirements