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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:ARISE Initiative Robomimic Hyperparameter Sweep
- Workflow:Huggingface Optimum GPTQ Quantization
- Workflow:Getgauge Taiko Interactive Test Recording
- Workflow:OpenRLHF OpenRLHF Knowledge Distillation
- Workflow:Sail sg LongSpec Long Context Evaluation
- Workflow:Unstructured IO Unstructured Document Partitioning
- Workflow:Pola rs Polars Data IO and Format Conversion
- Workflow:Huggingface Open r1 SFT Distillation
- Workflow:Openai Evals Building a custom eval
- Workflow:OpenGVLab InternVL Supervised Finetuning
Principles
- Principle:Heibaiying BigData Notes Storm Topology Deployment
- Principle:Datajuicer Data juicer Operator Testing
- Principle:Bigscience workshop Petals Block Loading And Serving
- Principle:Google deepmind Mujoco Vectorized Simulation
- Principle:Unslothai Unsloth LoRA Adapter Injection
- Principle:Microsoft Agent framework Agent Factory Configuration
- Principle:DataTalksClub Data engineering zoomcamp Spark Session Initialization
- Principle:Mlfoundations Open flamingo MMC4 Format Conversion
- Principle:Online ml River Conformal Prediction
- Principle:Apache Druid Streaming Schema Spec
Implementations
- Implementation:Nightwatchjs Nightwatch Chrome Options Type Definitions
- Implementation:Ollama Ollama Convert NomicBert
- Implementation:Scikit learn Scikit learn Lars
- Implementation:Lm sys FastChat Summarize Cluster
- Implementation:Avhz RustQuant Graphviz
- Implementation:Kubeflow Kubeflow KServe InferenceService CRD
- Implementation:Hpcaitech ColossalAI Booster Training Loop
- Implementation:Evidentlyai Evidently Legacy UI Base
- Implementation:Triton inference server Server L0 Opentelemetry Unittest
- Implementation:Ggml org Llama cpp Multimodal Download
Heuristics
- Heuristic:Rapidsai Cuml Float64 Kernel Stability
- Heuristic:Facebookresearch Habitat lab VER Tuning Guidelines
- Heuristic:Intel Ipex llm DeepSpeed Tensor Parallel Tips
- Heuristic:Pytorch Serve Torch Compile Best Practices
- Heuristic:Online ml River SNARIMAX Default Regressor Pipeline
- Heuristic:Rapidsai Cuml Quantile Split Differences
- Heuristic:Volcengine Verl Sequence Length Balancing
- Heuristic:Cypress io Cypress Global Install Warning
- Heuristic:Run llama Llama index Evaluator LLM Selection
- Heuristic:MaterializeInc Materialize Docker Image Cache Lookup
Environments
- Environment:Tensorflow Serving Build Environment
- Environment:Ggml org Ggml Vulkan GPU Environment
- Environment:Openai Evals Python Runtime
- Environment:Open compass VLMEvalKit API Keys And Credentials
- Environment:Facebookresearch Audiocraft XFormers Memory Efficient Attention
- Environment:Protectai Llm guard API Server Deployment
- Environment:Diagram of thought Diagram of thought LLM API
- Environment:Roboflow Rf detr ONNX Export Environment
- Environment:Datajuicer Data juicer LLM API Credentials Environment
- Environment:LMCache LMCache Python Runtime