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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 Onnxruntime Train Convert Predict
- Workflow:Huggingface Optimum Automatic Tensor Parallelization
- Workflow:OpenHands OpenHands Third Party Runtime Integration
- Workflow:Openai Openai agents python Human In The Loop Approval
- Workflow:Speechbrain Speechbrain Whisper ASR Finetuning
- Workflow:Mit han lab Llm awq HuggingFace Model Export
- Workflow:Hpcaitech ColossalAI LLaMA Continual Pretraining
- Workflow:Danijar Dreamerv3 Distributed Parallel Training
- Workflow:Apache Spark Standalone Cluster Deployment
- Workflow:Allenai Open instruct SFT Finetuning
Principles
- Principle:Langchain ai Langgraph Channel Types
- Principle:InternLM Lmdeploy Engine Configuration
- Principle:Axolotl ai cloud Axolotl Package Build Configuration
- Principle:Intel Ipex llm Pipeline Parallel Init
- Principle:Explodinggradients Ragas Evaluation Dataset Preparation
- Principle:Speechbrain Speechbrain CTC Training Loop
- Principle:Spotify Luigi Worker Scheduler Communication
- Principle:LaurentMazare Tch rs Tensor Indexing Operations
- Principle:Huggingface Datasets AudioFolder Dataset Building
- Principle:VainF Torch Pruning Hessian Importance
Implementations
- Implementation:Neuml Txtai Application Init
- Implementation:Astronomer Astronomer cosmos Dag Run Listener
- Implementation:Tensorflow Serving StreamingBatchScheduler
- Implementation:Ggml org Llama cpp Jinja Parser Header
- Implementation:Avhz RustQuant Currency
- Implementation:Apache Flink HybridSourceSplitEnumerator HandleSourceEvent
- Implementation:Apache Flink MutableRecordAndPosition
- Implementation:SqueezeAILab ETS Reward Guided Search
- Implementation:Microsoft Playwright Public Protocol Types
- Implementation:Explodinggradients Ragas HeliconeSingleton Class
Heuristics
- Heuristic:Interpretml Interpret Memory Budget Heuristic
- Heuristic:PrefectHQ Prefect HTTP Connection Pool Tuning
- Heuristic:Princeton nlp Tree of thought llm Functools Partial Model Binding
- Heuristic:DevExpress Testcafe Video Encoding Defaults
- Heuristic:Trailofbits Fickling Force Flag Bypass
- Heuristic:Mlc ai Mlc llm FlashInfer KV Cache Fallback
- Heuristic:OpenGVLab InternVL Loss Reduction Strategy
- Heuristic:Roboflow Rf detr Layer Wise LR Decay
- Heuristic:Huggingface Trl Disable Dropout For RL Training
- Heuristic:SeleniumHQ Selenium Bazel Hermetic Build Requirement
Environments
- Environment:Mlc ai Web llm Chrome Extension Manifest V3
- Environment:Bitsandbytes foundation Bitsandbytes CUDA GPU Runtime
- Environment:OpenHands OpenHands Integration Credentials
- Environment:Microsoft Onnxruntime CPU Training Environment
- Environment:Kserve Kserve Cert Manager
- Environment:Spotify Luigi PostgreSQL Server
- Environment:Evidentlyai Evidently Node Frontend Environment
- Environment:Mistralai Client python GCP Deployment Environment
- Environment:FMInference FlexLLMGen NVMe Disk
- Environment:Tensorflow Serving Kubernetes Deployment Environment