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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 |
Explore Pages
Workflows
- Workflow:Microsoft Autogen Swarm Agent Handoff
- Workflow:PacktPublishing LLM Engineers Handbook Model Evaluation
- Workflow:Openai Openai node Audio Processing
- Workflow:FMInference FlexLLMGen Data Wrangling Batch Inference
- Workflow:Mlc ai Web llm Structured Output Generation
- Workflow:Tensorflow Serving Batched Inference Pipeline
- Workflow:Datahub project Datahub Metadata Actions Pipeline
- Workflow:Elevenlabs Elevenlabs python Conversational AI Agent
- Workflow:Dagster io Dagster Bluesky Analytics
- Workflow:Heibaiying BigData Notes Kafka Producer Consumer Pipeline
Principles
- Principle:Ggml org Llama cpp State Management
- Principle:AUTOMATIC1111 Stable diffusion webui Weight interpolation methods
- Principle:Mlflow Mlflow Trace Destination Configuration
- Principle:Avhz RustQuant Fast Fourier Transform
- Principle:Fastai Fastbook Text Classifier Training
- Principle:Apache Spark K8s Resource Configuration
- Principle:Wandb Weave Patch Reversal
- Principle:NVIDIA TransformerEngine Tensor Parallel Initialization
- Principle:Apache Paimon Scan Planning
- Principle:ClickHouse ClickHouse Code Coverage Collection
Implementations
- Implementation:FlagOpen FlagEmbedding AbsEvalRunner Get Models
- Implementation:ARISE Initiative Robosuite GripperController Base
- Implementation:FlowiseAI Flowise MainHeader
- Implementation:Triton inference server Server HTTPServer
- Implementation:Langgenius Dify CLI Commands
- Implementation:Haosulab ManiSkill ShaderConfig
- Implementation:Explodinggradients Ragas Experiment Decorator
- Implementation:Sgl project Sglang Quick AllReduce
- Implementation:Huggingface Transformers AutoModelForCausalLM From Pretrained For Quantization
- Implementation:Tensorflow Serving RunSavedModelWarmup
Heuristics
- Heuristic:Risingwavelabs Risingwave Memory Cache Eviction Policy
- Heuristic:Unstructured IO Unstructured Warning Deprecated Staging Base
- Heuristic:Eric mitchell Direct preference optimization FSDP Batch Size Per GPU
- Heuristic:TobikoData Sqlmesh Execution Time Caching
- Heuristic:Treeverse LakeFS Action Cache Wait Tip
- Heuristic:NVIDIA TransformerEngine FP8 Recipe Auto Selection
- Heuristic:Mlflow Mlflow Prompt Cache Tuning
- Heuristic:Huggingface Peft DoRA Inference Caching
- Heuristic:Alibaba MNN LLM Runtime Tuning
- Heuristic:Apache Kafka Unknown Record Type Upgrade Safety
Environments
- Environment:Infiniflow Ragflow Docker Infrastructure
- Environment:Openai Openai python Azure OpenAI
- Environment:Lm sys FastChat Python Core Dependencies
- Environment:Kserve Kserve SRIOV RDMA Network
- Environment:Huggingface Transformers PyTorch 24 CUDA
- Environment:Hpcaitech ColossalAI ColossalChat Training Environment
- Environment:Microsoft DeepSpeedExamples CIFAR10 Training Environment
- Environment:Shiyu coder Kronos Comet ML Logging
- Environment:Langgenius Dify Docker Deployment Environment
- Environment:Haotian liu LLaVA Python CUDA Training Environment