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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:Kserve Kserve Multi Model Serving
- Workflow:Microsoft DeepSpeedExamples SuperOffload Finetuning
- Workflow:Microsoft BIPIA Attack Success Rate Evaluation
- Workflow:Testtimescaling Testtimescaling github io Adding a New Paper
- Workflow:Apache Kafka Broker Startup
- Workflow:Trailofbits Fickling PyTorch Format Identification
- Workflow:Openai Openai agents python Guardrails Secured Agent
- Workflow:Pytorch Serve LLM Deployment vLLM
- Workflow:Explodinggradients Ragas Metric Prompt Optimization
- Workflow:Microsoft Onnxruntime Python Inference Pipeline
Principles
- Principle:Haotian liu LLaVA LoRA Weight Merging
- Principle:FlowiseAI Flowise Agentflow Node Status Monitoring
- Principle:Ggml org Ggml Backend Interface
- Principle:Ollama Ollama OpenAI Request Translation
- Principle:ThreeSR Awesome Inference Time Scaling Entry Format Verification
- Principle:LaurentMazare Tch rs PyO3 Tensor Bridge
- Principle:Eventual Inc Daft Catalog Context Setting
- Principle:NVIDIA TransformerEngine Activation Checkpointing
- Principle:Isaac sim IsaacGymEnvs Task Requirements Design
- Principle:Tensorflow Serving Multi Model Batching
Implementations
- Implementation:Tensorflow Serving Tfrt Saved Model Warmup
- Implementation:CARLA simulator Carla CMake Configure Build
- Implementation:Farama Foundation Gymnasium Car Dynamics
- Implementation:LLMBook zh LLMBook zh github io LlamaModel
- Implementation:Hpcaitech ColossalAI HybridAdam CosineScheduler
- Implementation:Ucbepic Docetl NamespaceDialog
- Implementation:FMInference FlexLLMGen ExecutionEnv Create
- Implementation:Huggingface Transformers Trainer Train
- Implementation:Treeverse LakeFS Java SDK ActionsApi
- Implementation:Alibaba MNN ExecutorScope
Heuristics
- Heuristic:Predibase Lorax Quantization Backend Selection
- Heuristic:Marker Inc Korea AutoRAG Module Selection Strategies
- Heuristic:Trailofbits Fickling Allowlist Maintenance
- Heuristic:Mistralai Client python Retry Backoff Strategy
- Heuristic:LLMBook zh LLMBook zh github io LoRA Initialization Strategy
- Heuristic:Microsoft DeepSpeedExamples ZeRO Inference Throughput Tuning
- Heuristic:ARISE Initiative Robomimic BatchNorm To GroupNorm For EMA
- Heuristic:Mlc ai Web llm Service Worker Keep Alive
- Heuristic:Lucidrains X transformers Rotary Position Embedding Selection
- Heuristic:Scikit learn Scikit learn Random State Management
Environments
- Environment:Mlc ai Mlc llm OpenCL Android Environment
- Environment:Sgl project Sglang Prometheus
- Environment:Iamhankai Forest of Thought Python CUDA Runtime
- Environment:OpenHands OpenHands Third Party Runtime Credentials
- Environment:Hpcaitech ColossalAI ColossalQA RAG Environment
- Environment:Volcengine Verl Megatron Core Environment
- Environment:Intel Ipex llm Build Environment
- Environment:HKUDS AI Trader Browser Runtime
- Environment:Tencent Ncnn PyTorch Environment
- Environment:Protectai Llm guard ONNX Runtime Acceleration