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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:Microsoft Autogen Graph Based Agent Orchestration
- Workflow:Rapidsai Cuml Random Forest Training And Inference
- Workflow:Microsoft Semantic kernel Kernel Setup And Chat Completion
- Workflow:Googleapis Python genai Multimodal Content Generation
- Workflow:NVIDIA NeMo Aligner Reward Model Training
- Workflow:Apache Spark Building and Testing
- Workflow:Turboderp org Exllamav2 Bulk Dataset Inference
- Workflow:Facebookresearch Audiocraft EnCodec Compression Training
- Workflow:AnswerDotAI RAGatouille ColBERT Training
- Workflow:Openai Openai python Realtime Conversation
Principles
- Principle:Lance format Lance Data Ingestion
- Principle:Ucbepic Docetl LLM Powered Document Ranking
- Principle:Ggml org Llama cpp Speculative Decoding
- Principle:Ollama Ollama CGoBridge
- Principle:Microsoft Onnxruntime Nodejs Session Creation
- Principle:ClickHouse ClickHouse Lightweight JSON Parsing
- Principle:Nightwatchjs Nightwatch Project Initialization
- Principle:Cohere ai Cohere python Embed Response Processing
- Principle:Deepset ai Haystack Semantic Answer Similarity Evaluation
- Principle:CARLA simulator Carla Synchronous Simulation Mode
Implementations
- Implementation:Vespa engine Vespa Publish Artifacts Sh
- Implementation:Roboflow Rf detr Model Train
- Implementation:Puppeteer Puppeteer Browser Version
- Implementation:Eric mitchell Direct preference optimization Get Batch Logps
- Implementation:Cohere ai Cohere python FinetuningClient Create
- Implementation:Triton inference server Server Config Pbtxt Schema
- Implementation:Puppeteer Puppeteer Cdp PredefinedNetworkConditions
- Implementation:Gretelai Gretel synthetics DataFrameBatch Create Training Data
- Implementation:Treeverse LakeFS Authorization API Spec
- Implementation:Kubeflow Pipelines MLMD Service GRPC
Heuristics
- Heuristic:NVIDIA NeMo Curator Deduplication Blocksize Tuning
- Heuristic:Promptfoo Promptfoo Transient Error Classification
- Heuristic:Alibaba ROLL PPO Clipping Defaults
- Heuristic:Microsoft LoRA Fan In Fan Out Transpose
- Heuristic:Pyro ppl Pyro Enumeration Plate Nesting
- Heuristic:NVIDIA DALI Memory Pool Tuning
- Heuristic:Obss Sahi Overlap Ratio Selection
- Heuristic:Treeverse LakeFS Batch Delay Tuning
- Heuristic:Getgauge Taiko Element Actionability Checks
- Heuristic:Zai org CogVideo Scheduler and Guidance Selection
Environments
- Environment:Huggingface Trl Quantization Environment
- Environment:Alibaba MNN CPU Build Environment
- Environment:Openai Whisper PyTorch CUDA
- Environment:Huggingface Datatrove IO Dependencies
- Environment:Mit han lab Llm awq Flash Attention Environment
- Environment:Sktime Pytorch forecasting Optuna Tuning Dependencies
- Environment:Spotify Luigi Apache Spark
- Environment:Huggingface Peft GPU Hardware Detection
- Environment:CrewAIInc CrewAI Optional Provider Dependencies
- Environment:Datajuicer Data juicer Ray Cluster Environment