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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:Nautechsystems Nautilus trader Backtest with BacktestEngine
- Workflow:Gretelai Gretel synthetics ACTGAN Tabular Synthesis
- Workflow:Deepseek ai Janus Autoregressive Image Generation
- Workflow:Online ml River Drift Adaptive Classification
- Workflow:Openai Whisper Audio Transcription
- Workflow:Protectai Modelscan Custom Scanner Plugin
- Workflow:Run llama Llama index Data Ingestion Pipeline
- Workflow:TA Lib Ta lib python Abstract API Usage
- Workflow:Gretelai Gretel synthetics DGAN Timeseries Generation
- Workflow:Datajuicer Data juicer Distributed Ray Processing
Principles
- Principle:Bigscience workshop Petals Optimizer Setup
- Principle:NVIDIA NeMo Aligner KTO Training
- Principle:FlagOpen FlagEmbedding Distributed Embedder Training
- Principle:Mlc ai Web llm Chat Request Configuration
- Principle:Microsoft Agent framework Agent Factory Configuration
- Principle:Webdriverio Webdriverio Cucumber Configuration
- Principle:FMInference FlexLLMGen Runtime Utility Functions
- Principle:Marker Inc Korea AutoRAG Deployment Mode Selection
- Principle:Ggml org Llama cpp Sampler Chain Configuration
- Principle:LMCache LMCache Cache Controller Architecture
Implementations
- Implementation:Microsoft Playwright CryptoUtils
- Implementation:Hiyouga LLaMA Factory Identity Data
- Implementation:SeleniumHQ Selenium Python Conftest
- Implementation:Tencent Ncnn P2PNet Example
- Implementation:Norrrrrrr lyn WAInjectBench load jsonl
- Implementation:Vllm project Vllm Benchmark Serving Structured Output
- Implementation:ARISE Initiative Robosuite TransformUtils
- Implementation:Interpretml Interpret Objective Registration
- Implementation:Microsoft DeepSpeedExamples BingBert DeepSpeedTrain
- Implementation:Zai org CogVideo MagViT2 Tokenizer
Heuristics
- Heuristic:Microsoft Playwright Browser Specific Workarounds
- Heuristic:Wandb Weave Payload Size Limits
- Heuristic:ARISE Initiative Robomimic Rollout Horizon Selection
- Heuristic:Huggingface Alignment handbook EOS Token Alignment
- Heuristic:Huggingface Optimum GPTQ Quantization Defaults
- Heuristic:NVIDIA DALI Thread Affinity Optimization
- Heuristic:LMCache LMCache CacheGen Quantization Strategy
- Heuristic:Cleanlab Cleanlab Label Quality Scoring Method Selection
- Heuristic:Openclaw Openclaw Warning Suppression For Known Deprecations
- Heuristic:Microsoft Agent framework Silent Workflow Failures
Environments
- Environment:Sgl project Sglang CUDA SM100
- Environment:Evidentlyai Evidently Grafana Monitoring Environment
- Environment:Risingwavelabs Risingwave Docker Deployment Environment
- Environment:Haosulab ManiSkill Python SAPIEN Core
- Environment:Kornia Kornia PyTorch Python Environment
- Environment:Togethercomputer Together python Python SDK Runtime
- Environment:Helicone Helicone Python ClickHouse Migrations
- Environment:Kubeflow Pipelines Kubernetes Cluster
- Environment:Heibaiying BigData Notes Hadoop CDH Environment
- Environment:Run llama Llama index OpenAI API Configuration