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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:Open compass VLMEvalKit Video Benchmark Evaluation
- Workflow:Iterative Dvc Data Tracking
- Workflow:Vespa engine Vespa Document indexing pipeline
- Workflow:Obss Sahi COCO Dataset Slicing
- Workflow:InternLM Lmdeploy W4A16 AWQ Quantization
- Workflow:PeterL1n BackgroundMattingV2 Realtime webcam matting
- Workflow:Deepset ai Haystack Document Indexing Pipeline
- Workflow:Microsoft Playwright Codegen test recording
- Workflow:Eventual Inc Daft Distributed UDF Processing
- Workflow:Speechbrain Speechbrain Speech Separation Training
Principles
- Principle:OWASP Www project top 10 for large language model applications ASI Top 10 Threat Assessment
- Principle:ClickHouse ClickHouse Server Startup For Testing
- Principle:Iamhankai Forest of Thought Monte Carlo Tree Search
- Principle:InternLM Lmdeploy VLM Configuration
- Principle:Fastai Fastbook Activation Functions
- Principle:Farama Foundation Gymnasium Observation Action Space Design
- Principle:Huggingface Transformers Output Postprocessing
- Principle:Facebookresearch Audiocraft Encoder Decoder Architecture
- Principle:Datahub project Datahub SDK Dependency Management
- Principle:Google deepmind Mujoco CPU Model Loading
Implementations
- Implementation:Openai Openai python Video Create Params
- Implementation:NVIDIA NeMo Aligner Build RLHF Datasets
- Implementation:Lance format Lance Java BTreeIndexParams
- Implementation:SqueezeAILab ETS Grade Answer
- Implementation:Trailofbits Fickling Create Malicious Dataset
- Implementation:Microsoft Playwright ProcessLauncher
- Implementation:FMInference FlexLLMGen OptTokenizer
- Implementation:ClickHouse ClickHouse Clickhouse Split Debug Symbols
- Implementation:Protectai Modelscan OperatorIssueDetails
- Implementation:Open compass VLMEvalKit BaseAPI
Heuristics
- Heuristic:Cohere ai Cohere python HTTP Retry Backoff Strategy
- Heuristic:BerriAI Litellm Token Counting Buffer
- Heuristic:Ggml org Llama cpp Batch Size BLAS Minimum
- Heuristic:Volcengine Verl Inplace Operations OOM Prevention
- Heuristic:NVIDIA NeMo Curator Semantic Dedup Cluster Sizing
- Heuristic:Helicone Helicone Cost Precision Multiplier
- Heuristic:Obss Sahi Confidence Threshold Setting
- Heuristic:Huggingface Trl Disable Dropout For RL Training
- Heuristic:Allenai Open instruct Disable Dropout In RL
- Heuristic:CARLA simulator Carla Walker Spawn Vertical Offset
Environments
- Environment:Sgl project Sglang Runtime
- Environment:Risingwavelabs Risingwave Java Connector Environment
- Environment:Spcl Graph of thoughts Local LLaMA GPU Inference
- Environment:Turboderp org Exllamav2 Build Toolchain
- Environment:NVIDIA DALI CUDA GPU Environment
- Environment:Pola rs Polars Python Runtime Environment
- Environment:MaterializeInc Materialize Docker Compose Runtime
- Environment:Huggingface Open r1 Slurm Cluster
- Environment:Intel Ipex llm NPU Environment
- Environment:SeleniumHQ Selenium Grid Deployment Environment