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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:Vllm project Vllm Speculative Decoding
- Workflow:Ollama Ollama Model Pull And Run
- Workflow:Teamcapybara Capybara Selenium Driver Configuration
- Workflow:Facebookresearch Audiocraft JASCO Conditioned Music Generation
- Workflow:Gretelai Gretel synthetics ACTGAN Tabular Synthesis
- Workflow:DevExpress Testcafe Basic Test Authoring
- Workflow:Anthropics Anthropic sdk python Extended Thinking Reasoning
- Workflow:Ggml org Llama cpp HF to GGUF Model Conversion
- Workflow:Zai org CogVideo Diffusers Text to Video Inference
- Workflow:Isaac sim IsaacGymEnvs Policy Inference and Evaluation
Principles
- Principle:Kserve Kserve Canary Deployment Initialization
- Principle:Microsoft Onnxruntime Trained Model Export
- Principle:Spcl Graph of thoughts Keyword Counting Prompt Design
- Principle:Huggingface Datasets DatasetDict Hub Upload
- Principle:Webdriverio Webdriverio UtilityPattern
- Principle:Princeton nlp Tree of thought llm Naive Baseline Sampling
- Principle:Lm sys FastChat MT Bench Answer Generation
- Principle:Langfuse Langfuse S3 Payload Upload
- Principle:TA Lib Ta lib python Pattern Signal Interpretation
- Principle:Alibaba MNN Winograd Kernel Codegen
Implementations
- Implementation:Microsoft Onnxruntime Fp16Conversions JVM
- Implementation:Datajuicer Data juicer DWposeDetector
- Implementation:Alibaba MNN FlatBuffers Flatc
- Implementation:Helicone Helicone Auth Config
- Implementation:Triton inference server Server InferUtil
- Implementation:Hiyouga LLaMA Factory SFT Metric
- Implementation:Ggml org Llama cpp Chat Parser Header
- Implementation:Dotnet Machinelearning LdaHybridMap
- Implementation:Mlc ai Mlc llm Dynamic Bitset
- Implementation:Mistralai Client python Ocr Process
Heuristics
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix High Res Crop Training
- Heuristic:Risingwavelabs Risingwave Source Backoff Strategy
- Heuristic:Openai Openai python Warning Deprecated Legacy Response
- Heuristic:Farama Foundation Gymnasium Seeding Determinism Best Practices
- Heuristic:FMInference FlexLLMGen Weight Compression 4bit
- Heuristic:InternLM Lmdeploy Max Batch Size Selection
- Heuristic:Fastai Fastbook Mixup Data Augmentation
- Heuristic:Sgl project Sglang Schedule Conservativeness Tuning
- Heuristic:Langgenius Dify Celery Queue Separation
- Heuristic:Openai Whisper SDPA Disabling For Attention Extraction
Environments
- Environment:Deepset ai Haystack HuggingFace Model Environment
- Environment:Vllm project Vllm AMD ROCm
- Environment:Vllm project Vllm Environment Variables
- Environment:Google deepmind Mujoco MJX Warp CUDA Environment
- Environment:Lm sys FastChat SFT Training Environment
- Environment:MaterializeInc Materialize Dbt Materialize Runtime
- Environment:Treeverse LakeFS S3 Gateway Test Environment
- Environment:SeldonIO Seldon core Kafka Messaging Environment
- Environment:Unstructured IO Unstructured Profiling Tools
- Environment:Princeton nlp SimPO VLLM Inference