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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:Facebookresearch Audiocraft MusicGen Text To Music Inference
- Workflow:Haosulab ManiSkill Imitation Learning Pipeline
- Workflow:Microsoft Agent framework Multi Agent Concurrent Orchestration
- Workflow:Gretelai Gretel synthetics DGAN Timeseries Generation
- Workflow:Dagster io Dagster ML Pipeline
- Workflow:Langchain ai Langgraph Persistence and Memory Setup
- Workflow:Ggml org Llama cpp Speculative Decoding
- Workflow:SeleniumHQ Selenium Browser Session Setup
- Workflow:Langfuse Langfuse Evaluation pipeline
- Workflow:Microsoft Playwright End to end test authoring
Principles
- Principle:Huggingface Optimum Parameter Metadata Initialization
- Principle:Open compass VLMEvalKit Video Inference Orchestration
- Principle:Haotian liu LLaVA Custom Dataset Formatting
- Principle:Nautechsystems Nautilus trader Historical Data Wrangling
- Principle:Puppeteer Puppeteer Dynamic Content Waiting
- Principle:MaterializeInc Materialize Scalability Regression Testing
- Principle:Tensorflow Serving Version Policy Configuration
- Principle:Microsoft LoRA Low Rank Layer Replacement
- Principle:Avhz RustQuant Numerical Integration
- Principle:Turboderp org Exllamav2 Bit Allocation Optimization
Implementations
- Implementation:Mlflow Mlflow Scorer Class
- Implementation:Tencent Ncnn YOLO World Example
- Implementation:Online ml River Base Estimator
- Implementation:Openai Whisper Log Mel Spectrogram
- Implementation:Arize ai Phoenix Generated V1 Types
- Implementation:OpenGVLab InternVL GPT Review Evaluation
- Implementation:Online ml River Tree Splitter Base
- Implementation:Guardrails ai Guardrails Guard Use Custom Validator
- Implementation:Onnx Onnx Version Converter Convert Version
- Implementation:SeleniumHQ Selenium Closure Testing TestCase
Heuristics
- Heuristic:Infiniflow Ragflow Reranking Weight Tuning
- Heuristic:LLMBook zh LLMBook zh github io Deduplication Ngram Threshold
- Heuristic:Recommenders team Recommenders TensorFlow Session Ordering
- Heuristic:Huggingface Trl Gradient Checkpointing Use Reentrant
- Heuristic:Turboderp org Exllamav2 Paged Cache Configuration
- Heuristic:Vibrantlabsai Ragas Warning Deprecated Legacy LLM Wrappers
- Heuristic:Mbzuai oryx Awesome LLM Post training Checkpoint Every 3 Papers
- Heuristic:Tencent Ncnn FP16 Precision Selection
- Heuristic:TA Lib Ta lib python Compatibility Mode Switching
- Heuristic:Mlc ai Mlc llm FlashInfer KV Cache Fallback
Environments
- Environment:MarketSquare Robotframework browser Python Runtime
- Environment:Sgl project Sglang Multi Platform Accelerators
- Environment:Avhz RustQuant Rust Stable
- Environment:Kubeflow Kubeflow Kubernetes Cluster Environment
- Environment:Puppeteer Puppeteer Node 18 Runtime
- Environment:Onnx Onnx Python Runtime Environment
- Environment:Mbzuai oryx Awesome LLM Post training Python Requests
- Environment:Openclaw Openclaw State Directory And Credentials
- Environment:Arize ai Phoenix OpenTelemetry SDK
- Environment:Danijar Dreamerv3 JAX CUDA