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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:Dagster io Dagster RAG Pipeline
- Workflow:Speechbrain Speechbrain Speech Separation Training
- Workflow:Snorkel team Snorkel Data Augmentation
- Workflow:ChenghaoMou Text dedup SimHash Deduplication
- Workflow:Roboflow Rf detr Object Detection Inference
- Workflow:Togethercomputer Together python Image Generation
- Workflow:Apache Dolphinscheduler Datasource Plugin Development
- Workflow:Ollama Ollama Custom Model Creation
- Workflow:Run llama Llama index Embedding Finetuning
- Workflow:Heibaiying BigData Notes Flink Kafka Streaming Pipeline
Principles
- Principle:Heibaiying BigData Notes Spark Aggregation and Join
- Principle:Lance format Lance Data Scanning And Reading
- Principle:Microsoft Playwright Run Tests with Tracing
- Principle:Tensorflow Serving Simple Server Bootstrap
- Principle:Vllm project Vllm Speculative Engine Initialization
- Principle:Trailofbits Fickling File Corruption Detection
- Principle:Explodinggradients Ragas LLM Provider Abstraction
- Principle:Microsoft Autogen Handoff Termination
- Principle:Allenai Open instruct GRPO Experiment Configuration
- Principle:Facebookresearch Audiocraft Pretrained Compression Export
Implementations
- Implementation:Pytorch Serve TransformersSeqClassifierHandler
- Implementation:TobikoData Sqlmesh Lineage Utils
- Implementation:Open compass VLMEvalKit OmChat
- Implementation:Googleapis Python genai GenerateContentResponse Access
- Implementation:Treeverse LakeFS Java SDK Model HookRunList
- Implementation:Apache Paimon Partition
- Implementation:Open compass VLMEvalKit VGRPBench Aquarium
- Implementation:Infiniflow Ragflow Admin ServiceDetail Component
- Implementation:CrewAIInc CrewAI Serply Webpage To Markdown Tool
- Implementation:Hiyouga LLaMA Factory Feedback Processor
Heuristics
- Heuristic:Avhz RustQuant MC Parallel Path Threshold
- Heuristic:Promptfoo Promptfoo Warning Deprecated Cache Migration
- Heuristic:Scikit learn contrib Imbalanced learn Sampling Strategy Selection
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix Instance Norm for Multi GPU
- Heuristic:Kserve Kserve Autoscaler Concurrency Target
- Heuristic:Facebookresearch Audiocraft Chroma Conditioning Cache Requirement
- Heuristic:Lm sys FastChat Vicuna SFT Training Hyperparameters
- Heuristic:Microsoft LoRA LoRA Rank Selection
- Heuristic:Intel Ipex llm CCL Distributed Training Tips
- Heuristic:Obss Sahi Overlap Ratio Selection
Environments
- Environment:Huggingface Alignment handbook Python PEFT
- Environment:CarperAI Trlx Python Accelerate
- Environment:Deepspeedai DeepSpeed CUDA GPU Environment
- Environment:Kubeflow Kubeflow Kubernetes Cluster Environment
- Environment:Googleapis Python genai Python 3 10 SDK Runtime
- Environment:BerriAI Litellm Redis Cache Backend
- Environment:Openai Openai node WebSocket Dependency
- Environment:NVIDIA DALI FFmpeg Environment
- Environment:Intel Ipex llm NPU Environment
- Environment:Kserve Kserve GPU Accelerator