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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:Mistralai Client python OCR Document Processing
- Workflow:Huggingface Open r1 GRPO Reasoning Training
- Workflow:AnswerDotAI RAGatouille Document Indexing And Search
- Workflow:Tensorflow Tfjs Pretrained Model Conversion And Inference
- Workflow:Truera Trulens LangGraph Agent Evaluation
- Workflow:Speechbrain Speechbrain Text to Speech Training
- Workflow:Huggingface Peft DreamBooth LoRA Diffusion
- Workflow:FlagOpen FlagEmbedding Reranker Inference
- Workflow:Lm sys FastChat Vicuna SFT Finetuning
- Workflow:Mlc ai Web llm Function Calling
Principles
- Principle:PacktPublishing LLM Engineers Handbook Quantized Model Loading
- Principle:CARLA simulator Carla Waypoint Queue Completion
- Principle:Cohere ai Cohere python Text Embedding
- Principle:OpenGVLab InternVL Benchmark Dispatch
- Principle:Ray project Ray Distributed Task Submission
- Principle:Cohere ai Cohere python AWS SigV4 Authentication
- Principle:OpenHands OpenHands Agent Summary Callback
- Principle:Apache Shardingsphere Configuration Change Initiation
- Principle:Nightwatchjs Nightwatch Cucumber Runner Configuration
- Principle:Langfuse Langfuse OTel Ingestion Post Processing
Implementations
- Implementation:Microsoft Playwright BidiBrowser
- Implementation:AnswerDotAI RAGatouille RAGTrainer Prepare Training Data
- Implementation:Facebookresearch Habitat lab HumanoidRearrangeController
- Implementation:Open compass VLMEvalKit Cambrian
- Implementation:Neuml Txtai TemplateTask
- Implementation:Huggingface Optimum GPTQQuantizer Init
- Implementation:Pyro ppl Pyro AutoMultivariateNormal Guide
- Implementation:Recommenders team Recommenders Amazon Reviews
- Implementation:TobikoData Sqlmesh Tab
- Implementation:ArroyoSystems Arroyo Create Connection Profile
Heuristics
- Heuristic:TobikoData Sqlmesh Execution Time Caching
- Heuristic:Mlc ai Mlc llm GPU Memory Budget Tuning
- Heuristic:Eric mitchell Direct preference optimization FSDP Batch Size Per GPU
- Heuristic:BerriAI Litellm Streaming Loop Detection
- Heuristic:Langchain ai Langchain Deprecation Version Tracking
- Heuristic:Huggingface Trl QLoRA BF16 Adapter Casting
- Heuristic:Astronomer Astronomer cosmos Deprecation Migration Paths
- Heuristic:PacktPublishing LLM Engineers Handbook RAG Retrieval Parameters
- Heuristic:Danijar Dreamerv3 Replay Context Carry Init
- Heuristic:Apache Dolphinscheduler Gzip Compression Threshold
Environments
- Environment:Neuml Txtai Python Core Environment
- Environment:Ucbepic Docetl LLM API Keys
- Environment:Recommenders team Recommenders Spark Environment
- Environment:Anthropics Anthropic sdk python GCP Vertex Environment
- Environment:Iterative Dvc Git SCM Environment
- Environment:Isaac sim IsaacGymEnvs Pip Dependencies
- Environment:EvolvingLMMs Lab Lmms eval GPU Compute Environment
- Environment:Huggingface Alignment handbook Python PEFT
- Environment:Datahub project Datahub Docker Quickstart Environment
- Environment:Sgl project Sglang Python Dependencies