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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:Scikit learn Scikit learn Hyperparameter Tuning
- Workflow:Mistralai Client python Chat Completion
- Workflow:Huggingface Open r1 Dataset Pass Rate Filtering
- Workflow:Apache Flink Async Sink Lifecycle
- Workflow:CARLA simulator Carla Sensor Data Collection
- Workflow:Sktime Pytorch forecasting TFT Demand Forecasting
- Workflow:VainF Torch Pruning Sparse Training Pruning
- Workflow:Fastai Fastbook Collaborative Filtering
- Workflow:Sdv dev SDV Data quality evaluation
- Workflow:InternLM Lmdeploy LLM API Server Deployment
Principles
- Principle:Mlflow Mlflow Development Environment Setup
- Principle:Apache Druid Query Context Configuration
- Principle:Farama Foundation Gymnasium Vectorized Environment Creation
- Principle:Huggingface Datatrove Tokenizer Loading
- Principle:Apache Kafka Container Registry Push
- Principle:Run llama Llama index Agent Output Processing
- Principle:Elevenlabs Elevenlabs python Client Initialization
- Principle:Run llama Llama index Agent Configuration
- Principle:Huggingface Datasets Distributed Dataset Splitting
- Principle:Huggingface Diffusers Diffusion Training Loop
Implementations
- Implementation:Microsoft Onnxruntime CPU LSTM Grad
- Implementation:Norrrrrrr lyn WAInjectBench LogisticRegression Fit
- Implementation:Ggml org Ggml Gpt sample top k top p
- Implementation:Lucidrains X transformers BeliefStateWrapper
- Implementation:Open compass VLMEvalKit MathV Utils
- Implementation:Microsoft Playwright WkExecutionContext
- Implementation:FlowiseAI Flowise VerifyEmail
- Implementation:NVIDIA DALI C API Legacy
- Implementation:Pyro ppl Pyro DenseNN
- Implementation:Mlc ai Mlc llm Orion Model
Heuristics
- Heuristic:Farama Foundation Gymnasium Action Space Normalization Tip
- Heuristic:Webdriverio Webdriverio Click Interception Workaround
- Heuristic:Mistralai Client python Resource Context Manager
- Heuristic:Mlfoundations Open flamingo Deterministic Shard Shuffling
- Heuristic:Cypress io Cypress V8 Snapshot Memory
- Heuristic:Mlfoundations Open flamingo KV Cache Classification Optimization
- Heuristic:HKUDS AI Trader DeepSeek Tool Args Workaround
- Heuristic:ARISE Initiative Robomimic Data Worker Tuning By Modality
- Heuristic:Datahub project Datahub Venv Copies Mode
- Heuristic:SqueezeAILab ETS Softmax Temperature Tuning
Environments
- Environment:Sgl project Sglang OpenAI
- Environment:Deepseek ai Janus JanusFlow Diffusers Environment
- Environment:OpenGVLab InternVL PyTorch CUDA
- Environment:Neuml Txtai API Server Configuration
- Environment:CarperAI Trlx NeMo Megatron
- Environment:Helicone Helicone Docker Compose Infrastructure
- Environment:Cleanlab Cleanlab Image Quality Dependencies
- Environment:Datahub project Datahub Java Build
- Environment:Hpcaitech ColossalAI ColossalChat Training Environment
- Environment:Deepspeedai DeepSpeed CUDA GPU Environment