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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 Python Inference Pipeline
- Workflow:ClickHouse ClickHouse Contributing Pull Request
- Workflow:Haosulab ManiSkill Custom Task Development
- Workflow:Mlc ai Web llm Chrome Extension Integration
- Workflow:Lakeraai Pint benchmark Hugging Face Model Evaluation
- Workflow:NVIDIA TransformerEngine Comm GEMM Overlap Training
- Workflow:Openai Openai python Fine Tuning Job Management
- Workflow:Infiniflow Ragflow Knowledge Base Document Ingestion
- Workflow:Apache Flink Hybrid Source Switching
- Workflow:Roboflow Rf detr Custom Dataset Finetuning
Principles
- Principle:Testtimescaling Testtimescaling github io Paper Relevance Assessment
- Principle:Langchain ai Langchain Pre Release Validation
- Principle:Unstructured IO Unstructured Pipeline Output Validation
- Principle:MaterializeInc Materialize Test Result Aggregation
- Principle:Unstructured IO Unstructured Memory Profiling
- Principle:Mistralai Client python Tool Result Submission
- Principle:Microsoft DeepSpeedExamples Inference Performance Measurement
- Principle:Apache Dolphinscheduler RPC Server Handler
- Principle:Promptfoo Promptfoo Test Suite Construction
- Principle:Deepseek ai Janus Image Post Processing Flow
Implementations
- Implementation:Mage ai Mage ai Chargebee Plan Model Events Schema
- Implementation:Promptfoo Promptfoo Package Manifest
- Implementation:Snorkel team Snorkel Trainer Fit Multitask
- Implementation:Google deepmind Dm control Two Touch Task
- Implementation:NVIDIA TransformerEngine CommOverlapCore
- Implementation:CrewAIInc CrewAI Crew Hierarchical Constructor
- Implementation:LLMBook zh LLMBook zh github io Encode With BPE
- Implementation:Google deepmind Mujoco Filament Object Manager
- Implementation:Kubeflow Pipelines Dsl Graph Component
- Implementation:Open compass VLMEvalKit Eagle
Heuristics
- Heuristic:Bigscience workshop Petals Randomized Rebalancing Intervals
- Heuristic:Ggml org Ggml Quantization Type Selection
- Heuristic:Apache Airflow DAG Top Level Code Avoidance
- Heuristic:Huggingface Optimum Device Offload Constraints
- Heuristic:Axolotl ai cloud Axolotl Gradient Checkpointing Reentrant Rules
- Heuristic:Microsoft LoRA LoRA Init Strategy
- Heuristic:Risingwavelabs Risingwave Memory Cache Eviction Policy
- Heuristic:Lakeraai Pint benchmark Optimal Configuration Selection
- Heuristic:Run llama Llama index Embedding Batch Size Tuning
- Heuristic:Mbzuai oryx Awesome LLM Post training Excel Sheet Name Truncation
Environments
- Environment:Apache Dolphinscheduler Node Pnpm Runtime
- Environment:NVIDIA TransformerEngine Python PyTorch Requirements
- Environment:CarperAI Trlx DeepSpeed Multi GPU
- Environment:Huggingface Datasets Image Dependencies
- Environment:Getgauge Taiko Chromium Browser
- Environment:Treeverse LakeFS S3 Gateway Test Environment
- Environment:Heibaiying BigData Notes Java 8 Maven Environment
- Environment:Unstructured IO Unstructured Libmagic
- Environment:Vllm project Vllm Buildkite
- Environment:Apache Shardingsphere ZooKeeper Cluster Coordination