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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:Rapidsai Cuml Sklearn Zero Code Acceleration
- Workflow:Cohere ai Cohere python Model Finetuning
- Workflow:Lm sys FastChat MT Bench Evaluation
- Workflow:Elevenlabs Elevenlabs python Realtime TTS Streaming
- Workflow:Ggml org Llama cpp OpenAI Compatible Server
- Workflow:Apache Airflow Kubernetes Deployment via Helm
- Workflow:Explodinggradients Ragas RAG Evaluation
- Workflow:Anthropics Anthropic sdk python Cloud Provider Deployment
- Workflow:Cleanlab Cleanlab Object Detection Label Quality
- Workflow:SqueezeAILab ETS ETS Experiment Pipeline
Principles
- Principle:Googleapis Python genai Chat Session Creation
- Principle:Alibaba ROLL MCoreAdapter Checkpoint Conversion
- Principle:Eventual Inc Daft Window Functions
- Principle:Facebookresearch Audiocraft MusicGen Training Execution
- Principle:Lm sys FastChat LoRA Adapter Injection
- Principle:Pytorch Serve Cloud Deployment
- Principle:Pola rs Polars Query Plan Inspection
- Principle:LMCache LMCache Prefill Decode Configuration
- Principle:Zai org CogVideo Diffusion Sampling
- Principle:Pytorch Serve Generalized NLP Handler
Implementations
- Implementation:InternLM Lmdeploy Core Array
- Implementation:Openai Openai python Response Function Shell Tool Call
- Implementation:Openai Openai node Files Create
- Implementation:Run llama Llama index LlamaDataset Base
- Implementation:Axolotl ai cloud Axolotl Validate Config
- Implementation:Run llama Llama index SentenceTransformerRerank
- Implementation:Getgauge Taiko LinkWrapper
- Implementation:Triton inference server Server TraceSummary
- Implementation:Pyro ppl Pyro SubstituteMessenger
- Implementation:Farama Foundation Gymnasium AsyncVectorEnv
Heuristics
- Heuristic:AnswerDotAI RAGatouille In Memory Reranking Limits
- Heuristic:Microsoft Onnxruntime Memory Recomputation Optimization
- Heuristic:Duckdb Duckdb Memory Management Rules
- Heuristic:Neuml Txtai Faiss Index Sizing Tip
- Heuristic:Langchain ai Langchain Error Context Preservation
- Heuristic:Unslothai Unsloth Gradient Checkpointing Modes
- Heuristic:Neuml Txtai LLM Context Window Fallback
- Heuristic:Mlflow Mlflow Async Logging Best Practices
- Heuristic:Truera Trulens Rate Limiting And Retry Strategy
- Heuristic:Elevenlabs Elevenlabs python Text Chunking Splitter Characters
Environments
- Environment:Puppeteer Puppeteer Configuration Environment Variables
- Environment:Huggingface Alignment handbook Python Datasets
- Environment:Bitsandbytes foundation Bitsandbytes XPU SYCL Runtime
- Environment:Vllm project Vllm AWS ECR
- Environment:OpenBMB UltraFeedback Python GPU Environment
- Environment:Duckdb Duckdb CMake Build Toolchain
- Environment:Testtimescaling Testtimescaling github io Python 3 Runtime
- Environment:NVIDIA NeMo Curator RAPIDS GPU Stack
- Environment:Rapidsai Cuml Dask Distributed
- Environment:CarperAI Trlx DeepSpeed Multi GPU