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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:TobikoData Sqlmesh Environment management
- Workflow:Ggml org Llama cpp Interactive Chat
- Workflow:ThreeSR Awesome Inference Time Scaling Automated Paper Addition
- Workflow:Hpcaitech ColossalAI DPO Alignment
- Workflow:Unslothai Unsloth Vision Model Finetuning
- Workflow:FlagOpen FlagEmbedding Embedder Finetuning
- Workflow:Alibaba MNN Model Conversion Pipeline
- Workflow:Ray project Ray Serve Deployment
- Workflow:NVIDIA NeMo Curator Semantic Deduplication
- Workflow:LMCache LMCache KV Cache Offloading
Principles
- Principle:FMInference FlexLLMGen Distributed Job Runner
- Principle:Treeverse LakeFS Hook Result Review
- Principle:Huggingface Datasets Text Dataset Building
- Principle:Apache Airflow Trigger Handling
- Principle:Tensorflow Tfjs Converter Installation
- Principle:Apache Spark Release Version Tagging
- Principle:LMCache LMCache Segment Based KV Caching
- Principle:Huggingface Transformers LoRA Configuration
- Principle:Ollama Ollama Model Architecture Support
- Principle:Mlc ai Web llm Extension Service Worker
Implementations
- Implementation:Facebookresearch Habitat lab GuiPlacementHelper
- Implementation:Pola rs Polars Release Python Workflow
- Implementation:ArroyoSystems Arroyo Sql Rewriters
- Implementation:Pyro ppl Pyro InclinedPlane
- Implementation:Avhz RustQuant Python Bindings
- Implementation:Tensorflow Serving Mnist Client Inference
- Implementation:Datahub project Datahub Spark Lineage JAR Dependency
- Implementation:Langchain ai Langchain Anthropic Tools Middleware
- Implementation:Datahub project Datahub FilterTransformer Transform
- Implementation:Roboflow Rf detr Roboflow Inference SDK
Heuristics
- Heuristic:Scikit learn Scikit learn Convergence Warning Handling
- Heuristic:Openai Whisper KV Cache Optimization
- Heuristic:AUTOMATIC1111 Stable diffusion webui GTX 16 Series FP16 Workaround
- Heuristic:Truera Trulens Feedback Score Thresholds
- Heuristic:Spotify Luigi PySpark Task Serialization
- Heuristic:Mbzuai oryx Awesome LLM Post training Paper Deduplication Via Dict
- Heuristic:Datahub project Datahub Validation Across All APIs
- Heuristic:Lakeraai Pint benchmark Chunking Stride 25 Percent Overlap
- Heuristic:Pola rs Polars Avoid Lambda In Aggregation
- Heuristic:Datajuicer Data juicer Partition Size Tuning
Environments
- Environment:Snorkel team Snorkel PyTorch
- Environment:Googleapis Python genai Gemini API Key Authentication
- Environment:Microsoft Onnxruntime CUDA GPU Environment
- Environment:Neuml Txtai Optional Extras Dependencies
- Environment:Alibaba MNN GPU CUDA Environment
- Environment:Pyro ppl Pyro Python PyTorch Core
- Environment:Ray project Ray Python Runtime Environment
- Environment:Diagram of thought Diagram of thought Graphviz
- Environment:Groq Groq python Python Groq SDK
- Environment:Open compass VLMEvalKit API Keys And Credentials