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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:Vibrantlabsai Ragas Testset Generation
- Workflow:ArroyoSystems Arroyo Checkpoint Recovery
- Workflow:Roboflow Rf detr Roboflow Deployment
- Workflow:Ollama Ollama Model Registry Operations
- Workflow:OpenGVLab InternVL LoRA Finetuning
- Workflow:Run llama Llama index OpenAI LLM Finetuning
- Workflow:Heibaiying BigData Notes Hadoop MapReduce Word Count
- Workflow:DistrictDataLabs Yellowbrick Feature Analysis and Selection
- Workflow:Farama Foundation Gymnasium Custom Environment Creation
- Workflow:Avdvg InjectGuard Vector Similarity Detection Pipeline
Principles
- Principle:Ggml org Ggml Model Architecture Initialization
- Principle:FlowiseAI Flowise Evaluation Run Creation
- Principle:Huggingface Transformers Model Loading For Training
- Principle:Dagster io Dagster Component Based Definitions
- Principle:NVIDIA TransformerEngine HF Decoder Layer Replacement
- Principle:Fastai Fastbook Tensor Fundamentals
- Principle:Nautechsystems Nautilus trader Maturin Build Configuration
- Principle:Axolotl ai cloud Axolotl FSDP Weight Consolidation
- Principle:PrefectHQ Prefect Documentation Site Structure
- Principle:Microsoft DeepSpeedExamples Vision Language Projection
Implementations
- Implementation:Teamcapybara Capybara Selenium Find
- Implementation:Google deepmind Mujoco XML Parser
- Implementation:EvolvingLMMs Lab Lmms eval ChatMessages
- Implementation:Mlc ai Mlc llm Gemma2 Model
- Implementation:Mistralai Client python FineTuningJobs Get List
- Implementation:Speechbrain Speechbrain Voicebank Composite Eval
- Implementation:Run llama Llama index SentenceEmbeddingOptimizer
- Implementation:Ucbepic Docetl Dataset Load
- Implementation:ARISE Initiative Robosuite MjcfUtils
- Implementation:Turboderp org Exllamav2 ExLlamaV2DynamicGeneratorAsync
Heuristics
- Heuristic:DistrictDataLabs Yellowbrick Elbow Knee Detection Sensitivity
- Heuristic:FlagOpen FlagEmbedding Gradient Checkpointing Tip
- Heuristic:Puppeteer Puppeteer Mac Silicon Performance
- Heuristic:Bentoml BentoML Warning Deprecated Runner Class
- Heuristic:Lance format Lance IO Buffer And Batch Sizing
- Heuristic:Axolotl ai cloud Axolotl Sample Packing Best Practices
- Heuristic:Apache Dolphinscheduler Load Balancer Strategy Selection
- Heuristic:Eric mitchell Direct preference optimization FSDP Mixed Precision BFloat16
- Heuristic:Pyro ppl Pyro Gradient Variance Reduction
- Heuristic:Bigscience workshop Petals Prompt Embeddings Float32 Precision
Environments
- Environment:Huggingface Datatrove Slurm Cluster Environment
- Environment:Deepspeedai DeepSpeed NVMe Environment
- Environment:FlowiseAI Flowise Node Runtime Environment
- Environment:Bitsandbytes foundation Bitsandbytes ROCm AMD Environment
- Environment:Evidentlyai Evidently Python Core Environment
- Environment:Openai Evals Optional Provider APIs
- Environment:DevExpress Testcafe Docker Xvfb Container
- Environment:Microsoft Agent framework Core Package Dependencies
- Environment:Bitsandbytes foundation Bitsandbytes XPU SYCL Runtime
- Environment:Kserve Kserve SRIOV RDMA Network