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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:Datahub project Datahub Docker Quickstart Deployment
- Workflow:DataExpert io Data engineer handbook AB Experimentation Server
- Workflow:Haotian liu LLaVA LoRA Finetuning
- Workflow:Sdv dev SDV Multi table synthesis
- Workflow:Protectai Llm guard Scanner Benchmarking
- Workflow:Hiyouga LLaMA Factory Model Export and Merging
- Workflow:Vespa engine Vespa Document indexing pipeline
- Workflow:Openclaw Openclaw Multi Agent Routing
- Workflow:Mlc ai Web llm Structured Output Generation
- Workflow:DistrictDataLabs Yellowbrick Classification Model Evaluation
Principles
- Principle:Huggingface Alignment handbook Multi Task SFT Training
- Principle:Tencent Ncnn PNNX Model Conversion
- Principle:Ggml org Llama cpp Structured Output
- Principle:CARLA simulator Carla Source Repository Setup
- Principle:Roboflow Rf detr Deployment Benchmarking
- Principle:Duckdb Duckdb Text Stemming
- Principle:Explodinggradients Ragas LLM Provider Abstraction
- Principle:CarperAI Trlx Online RL Training
- Principle:Pyro ppl Pyro JIT Compilation
- Principle:Haifengl Smile Linear System Solving
Implementations
- Implementation:Google deepmind Mujoco mjv makeScene
- Implementation:Vibrantlabsai Ragas AnswerSimilarity
- Implementation:Vibrantlabsai Ragas MultiModalPrompt
- Implementation:Junyanz Pytorch CycleGAN and pix2pix Download Dataset
- Implementation:Open compass VLMEvalKit MEGABench Symbolic Planning
- Implementation:Scikit learn Scikit learn NearestCentroid
- Implementation:Bentoml BentoML SSE Descriptor
- Implementation:Treeverse LakeFS Java SDK Model User
- Implementation:Open compass VLMEvalKit MMHelix Aquarium Eval
- Implementation:Microsoft Onnxruntime CUDA Adasum
Heuristics
- Heuristic:PacktPublishing LLM Engineers Handbook Dataset Generation Quality Filters
- Heuristic:Ggml org Ggml Sampling Parameter Defaults
- Heuristic:Fastai Fastbook Dropout Regularization
- Heuristic:Avhz RustQuant MC Parallel Path Threshold
- Heuristic:Onnx Onnx Protobuf 2GB Limit Workaround
- Heuristic:Microsoft LoRA LoRA Init Strategy
- Heuristic:Tensorflow Serving Warning Deprecated CreateTfrtSavedModel Raw
- Heuristic:HKUDS AI Trader Sortino Ratio Capping
- Heuristic:Apache Spark Build Fallback Strategies
- Heuristic:Roboflow Rf detr Resolution Divisibility Rule
Environments
- Environment:Sgl project Sglang Kubernetes
- Environment:NVIDIA DALI PyTorch Environment
- Environment:Elevenlabs Elevenlabs python Python Websockets
- Environment:Ggml org Ggml Metal GPU Environment
- Environment:Intel Ipex llm XPU Inference Environment
- Environment:Sgl project Sglang Prometheus
- Environment:Vllm project Vllm Distributed
- Environment:Pytorch Serve Distributed Training Environment
- Environment:Helicone Helicone Node 20 TypeScript Runtime
- Environment:TobikoData Sqlmesh Snowflake Connection