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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 Autogen Tool Augmented Agent
- Workflow:Deepset ai Haystack Document Indexing Pipeline
- Workflow:Mage ai Mage ai API Source Extraction
- Workflow:PeterL1n BackgroundMattingV2 Training pipeline
- Workflow:NVIDIA TransformerEngine FSDP Distributed Training
- Workflow:Tensorflow Tfjs GPT2 Text Generation
- Workflow:Scikit learn contrib Imbalanced learn Balanced Deep Learning Training
- Workflow:Huggingface Datatrove Common Crawl Processing
- Workflow:Trailofbits Fickling Pickle Safety Analysis
- Workflow:Eric mitchell Direct preference optimization SFT Training
Principles
- Principle:Truera Trulens Session Initialization
- Principle:Huggingface Datatrove Job Status Monitoring
- Principle:Openai Evals Multiple Choice Evaluation
- Principle:Dagster io Dagster Incremental Processing
- Principle:Openai Openai agents python Usage Tracking
- Principle:Openai Whisper Language Detection
- Principle:Intel Ipex llm LoRA Adapter Injection QLoRA
- Principle:Pyro ppl Pyro Normalizing Flow Integration
- Principle:Mit han lab Llm awq LLaVA Multimodal Architecture
- Principle:Testtimescaling Testtimescaling github io Course Branch Bootstrapping
Implementations
- Implementation:Scikit learn Scikit learn Make Column Selector
- Implementation:VainF Torch Pruning C2f V2 Replacement
- Implementation:NVIDIA TransformerEngine JAX Sharding
- Implementation:Datahub project Datahub Pip Install Datahub Docker
- Implementation:Google deepmind Mujoco Glad Loader
- Implementation:Ollama Ollama Imagegen CLI
- Implementation:Facebookresearch Audiocraft StreamingModule
- Implementation:Apache Shardingsphere MetaDataContexts Container
- Implementation:Mit han lab Llm awq InternVisionConfig
- Implementation:Hpcaitech ColossalAI AccumulativeMeanMeter
Heuristics
- Heuristic:Liu00222 Open Prompt Injection BPE Retokenization Parameters
- Heuristic:Spotify Luigi Batch Parameter Aggregation
- Heuristic:Fede1024 Rust rdkafka Main Queue Poll Interval
- Heuristic:Testtimescaling Testtimescaling github io Skip CI Commit Tag
- Heuristic:Axolotl ai cloud Axolotl Sample Packing Best Practices
- Heuristic:Haosulab ManiSkill Num Envs Backend Selection
- Heuristic:Run llama Llama index Finetuning Warmup Steps
- Heuristic:Speechbrain Speechbrain Nonfinite Loss Handling
- Heuristic:ThreeSR Awesome Inference Time Scaling Duplicate Detection By Title
- Heuristic:Huggingface Transformers FSDP Activation Checkpointing Tip
Environments
- Environment:Truera Trulens Streamlit Dashboard Environment
- Environment:Dotnet Machinelearning ONNX Runtime Environment
- Environment:FMInference FlexLLMGen NVMe Disk
- Environment:Onnx Onnx Python Runtime Environment
- Environment:NVIDIA NeMo Curator Ray Cluster
- Environment:Huggingface Datasets TensorFlow Integration
- Environment:MarketSquare Robotframework browser Python Runtime
- Environment:Openai Openai agents python Voice Dependencies
- Environment:Vllm project Vllm Intel XPU
- Environment:Intel Ipex llm XPU Serving Environment