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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:Unstructured IO Unstructured Performance Profiling
- Workflow:TA Lib Ta lib python Streaming Indicator Computation
- Workflow:Explodinggradients Ragas LLM Benchmarking
- Workflow:Open compass VLMEvalKit Image Benchmark Evaluation
- Workflow:Langgenius Dify Docker Deployment
- Workflow:Fede1024 Rust rdkafka Async Stream Processing
- Workflow:Haotian liu LLaVA Two Stage Pretraining and Finetuning
- Workflow:CarperAI Trlx SFT Instruction Tuning
- Workflow:Promptfoo Promptfoo Custom Provider Integration
- Workflow:Volcengine Verl Vision Language Model RL Training
Principles
- Principle:Microsoft DeepSpeedExamples DeepSpeed MoE Training
- Principle:Mlc ai Web llm Chat Inference
- Principle:Lucidrains X transformers Iterative Masked Generation
- Principle:OpenHands OpenHands Solvability Analysis
- Principle:LMCache LMCache CacheBlend Configuration
- Principle:OWASP Www project top 10 for large language model applications Vulnerability Demonstration with Code Samples
- Principle:InternLM Lmdeploy Pipeline Initialization
- Principle:Neuml Txtai RAG Index Building
- Principle:Heibaiying BigData Notes Prepare Input Data
- Principle:Eventual Inc Daft Struct And List Access
Implementations
- Implementation:BerriAI Litellm Litellm Logging
- Implementation:Elevenlabs Elevenlabs python GetKnowledgeBaseUrlResponseModel
- Implementation:Zai org CogVideo I2V Export To Video
- Implementation:Explodinggradients Ragas Generate Personas From KG
- Implementation:Langgenius Dify Dify Env Sync
- Implementation:Gretelai Gretel synthetics DataFrameBatch Train All Batches
- Implementation:Iterative Dvc Rwlock
- Implementation:Ollama Ollama WriteManifest
- Implementation:Google deepmind Mujoco MJX Support
- Implementation:Openai Openai node Responses InputItems
Heuristics
- Heuristic:Nautechsystems Nautilus trader Streaming Mode For Large Backtests
- Heuristic:Vespa engine Vespa RPM Zstd Compression Settings
- Heuristic:Openai CLIP Class Name Curation
- Heuristic:Openai Whisper Median Word Duration Clamping
- Heuristic:Risingwavelabs Risingwave Stream Chunk Sizing
- Heuristic:Bitsandbytes foundation Bitsandbytes Blocksize Platform Defaults
- Heuristic:Google deepmind Mujoco MJX Benchmarking Tips
- Heuristic:Tencent Ncnn FP16 Precision Selection
- Heuristic:Mlflow Mlflow Prompt Cache Tuning
- Heuristic:Huggingface Optimum Dummy Input Shape Defaults
Environments
- Environment:Openai CLIP Python Dependencies
- Environment:Langchain ai Langchain LangSmith Tracing Config
- Environment:Arize ai Phoenix Python Runtime
- Environment:Shiyu coder Kronos Comet ML Logging
- Environment:Allenai Open instruct CUDA GPU Training
- Environment:Run llama Llama index Sentence Transformers Finetuning
- Environment:Turboderp org Exllamav2 Flash Attention Backend
- Environment:Spotify Luigi SQLAlchemy Database
- Environment:Predibase Lorax CUDA GPU Runtime
- Environment:Snorkel team Snorkel Dask Distributed