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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:DistrictDataLabs Yellowbrick Regression Model Evaluation
- Workflow:NVIDIA TransformerEngine FP8 Training Quickstart
- Workflow:Nightwatchjs Nightwatch E2E Test Authoring
- Workflow:Bentoml BentoML Service Definition And Local Serving
- Workflow:Lance format Lance Full Text Search
- Workflow:Fastai Fastbook Neural Network From Scratch
- Workflow:Wandb Weave Evaluation Pipeline
- Workflow:OpenGVLab InternVL Benchmark Evaluation
- Workflow:Bitsandbytes foundation Bitsandbytes 4bit QLoRA Inference
- Workflow:Google deepmind Dm control Manipulation Task Setup
Principles
- Principle:Datahub project Datahub Quickstart Launch
- Principle:AUTOMATIC1111 Stable diffusion webui Canvas UI Interaction
- Principle:Apache Paimon REST Catalog Protocol
- Principle:OpenHands OpenHands Name Validation
- Principle:Predibase Lorax Structured Response Parsing
- Principle:PrefectHQ Prefect Frontend Application Configuration
- Principle:Apache Beam Pipeline Translation
- Principle:Tensorflow Tfjs Pooling Operations
- Principle:Roboflow Rf detr Model Deployment
- Principle:Testtimescaling Testtimescaling github io Scheduled CI Trigger
Implementations
- Implementation:EvolvingLMMs Lab Lmms eval Cache Utils
- Implementation:Openai Openai node Transcriptions Resource
- Implementation:Scikit learn contrib Imbalanced learn RUSBoostClassifier
- Implementation:Promptfoo Promptfoo Version Constants
- Implementation:Pola rs Polars Collect Streaming Engine
- Implementation:Speechbrain Speechbrain Prepare KsponSpeech Root
- Implementation:Cypress io Cypress Reporter Component CT
- Implementation:LaurentMazare Tch rs Seq2Seq Translation
- Implementation:Microsoft LoRA Legacy Finetune Trainer Seq2Seq
- Implementation:SeleniumHQ Selenium Closure Uri Utils
Heuristics
- Heuristic:Danijar Dreamerv3 XLA GPU Optimization Flags
- Heuristic:Alibaba ROLL Dynamic Batching Token Limits
- Heuristic:Getgauge Taiko Browser Launch Flags
- Heuristic:Tensorflow Serving Warning Deprecated CreateTfrtSavedModel Raw
- Heuristic:NVIDIA TransformerEngine Attention Backend Selection
- Heuristic:Explodinggradients Ragas Concurrency And Rate Limiting
- Heuristic:Microsoft Autogen Model Context Limiting
- Heuristic:AnswerDotAI RAGatouille Index Rebuild Vs Update Decision
- Heuristic:Romsto Speculative Decoding KV Cache Instability
- Heuristic:Speechbrain Speechbrain Separation Loss Filtering
Environments
- Environment:Datahub project Datahub Frontend Build
- Environment:HKUDS AI Trader Python LangChain Runtime
- Environment:Huggingface Optimum Accelerated Inference Environment
- Environment:Huggingface Datasets Lance Dependencies
- Environment:Ggml org Llama cpp CMake Build Environment
- Environment:Alibaba MNN GPU Metal Environment
- Environment:Mlfoundations Open flamingo HuggingFace Open CLIP Dependencies
- Environment:Kubeflow Kubeflow Kubernetes Cluster Environment
- Environment:Hiyouga LLaMA Factory Quantization Dependencies
- Environment:Junyanz Pytorch CycleGAN and pix2pix DDP Multi GPU