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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:Bigscience workshop Petals Server Contribution
- Workflow:Mistralai Client python Finetuning Job Management
- Workflow:Isaac sim IsaacGymEnvs Custom Task Development
- Workflow:Facebookresearch Habitat lab PointNav PPO Training
- Workflow:Langchain ai Langchain Chat Model Invocation
- Workflow:Datahub project Datahub Java SDK V2 Entity Management
- Workflow:Langchain ai Langgraph Building a Stateful Graph
- Workflow:AUTOMATIC1111 Stable diffusion webui Image to image generation
- Workflow:Pola rs Polars SQL Query Interface
- Workflow:Danijar Dreamerv3 Distributed Parallel Training
Principles
- Principle:Danijar Dreamerv3 Logging And Reporting
- Principle:Shiyu coder Kronos Tokenizer Finetuning
- Principle:Hiyouga LLaMA Factory Low Rank Adaptation
- Principle:Groq Groq python Binary Response Handling
- Principle:Axolotl ai cloud Axolotl Tokenizer Configuration
- Principle:NVIDIA NeMo Curator Bucket to Edge Conversion
- Principle:Protectai Llm guard Scanner Benchmarking
- Principle:Lm sys FastChat Arena Battle UI
- Principle:Microsoft LoRA BPE Text Decoding
- Principle:Huggingface Datatrove Local Pipeline Execution
Implementations
- Implementation:Microsoft BIPIA RougeRecall
- Implementation:DistrictDataLabs Yellowbrick PrePredict
- Implementation:Ucbepic Docetl DecompositionComparisonDialog
- Implementation:Online ml River Metrics R2
- Implementation:Hpcaitech ColossalAI PPOTrainer
- Implementation:Risingwavelabs Risingwave Connector Integration Tests
- Implementation:Microsoft Onnxruntime CPU GatherElementsGrad
- Implementation:Open compass VLMEvalKit MedqbenchPairedDescriptionDataset
- Implementation:Microsoft Playwright Client Errors
- Implementation:Hiyouga LLaMA Factory Model Patcher
Heuristics
- Heuristic:OpenGVLab InternVL Loss Reduction Strategy
- Heuristic:Ggml org Llama cpp Batch Size BLAS Minimum
- Heuristic:Apache Kafka Coordinator Loading Commit Interval
- Heuristic:AnswerDotAI RAGatouille FAISS Vs PyTorch KMeans Indexing
- Heuristic:TA Lib Ta lib python Compatibility Mode Switching
- Heuristic:ThreeSR Awesome Inference Time Scaling API Rate Limiting Tip
- Heuristic:Astronomer Astronomer cosmos Dbt Invocation Mode Selection
- Heuristic:ClickHouse ClickHouse Banned Functions Thread Safety
- Heuristic:NVIDIA NeMo Aligner PPO Critic Warmup Tip
- Heuristic:Openai Openai python Fine Tuning Data Preparation Tips
Environments
- Environment:Evidentlyai Evidently Spark Engine Environment
- Environment:Volcengine Verl SGLang Rollout Environment
- Environment:Mlfoundations Open flamingo Evaluation Dependencies
- Environment:Lm sys FastChat API Keys And Credentials
- Environment:EvolvingLMMs Lab Lmms eval Python Runtime Environment
- Environment:Huggingface Alignment handbook BitsAndBytes CUDA
- Environment:DataTalksClub Data engineering zoomcamp PySpark Batch Environment
- Environment:Sgl project Sglang GitHub Actions
- Environment:Langchain ai Langchain Anthropic API Credentials
- Environment:LLMBook zh LLMBook zh github io PyTorch CUDA GPU Environment