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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:Elevenlabs Elevenlabs python Voice Cloning
- Workflow:Googleapis Python genai Multi Turn Chat
- Workflow:Huggingface Datasets Dataset Preprocessing
- Workflow:Vllm project Vllm Multi LoRA Serving
- Workflow:Neuml Txtai Workflow Orchestration
- Workflow:Princeton nlp SimPO Model Inference
- Workflow:Hiyouga LLaMA Factory LoRA SFT Finetuning
- Workflow:Webdriverio Webdriverio WDIO Testrunner Setup
- Workflow:Openai Whisper Word Level Timestamps
- Workflow:NVIDIA TransformerEngine FSDP Distributed Training
Principles
- Principle:Microsoft Onnxruntime Distributed Data Loading
- Principle:Datahub project Datahub UI Access
- Principle:Huggingface Datasets PyTorch DataLoader Integration
- Principle:Huggingface Datasets Deprecation Management
- Principle:Ucbepic Docetl Pandas Semantic Operations
- Principle:NVIDIA DALI CUDA Kernel Implementation
- Principle:Lm sys FastChat HuggingFace Pipeline Inference
- Principle:Kserve Kserve Model Packaging
- Principle:Lance format Lance Vector Search Filtering
- Principle:DistrictDataLabs Yellowbrick Cross Validation Scoring
Implementations
- Implementation:Unstructured IO Unstructured Partition
- Implementation:Ollama Ollama Llama Mmap
- Implementation:ArroyoSystems Arroyo Shutdown Handler
- Implementation:FMInference FlexLLMGen DeepSpeed Inference CuBLAS Wrappers
- Implementation:FlagOpen FlagEmbedding Pip Install FlagEmbedding
- Implementation:Kornia Kornia ONNXSequential Export
- Implementation:Fastai Fastbook Waterfall Ensemble
- Implementation:Avhz RustQuant OptionFlags
- Implementation:Apache Airflow Trace Utilities
- Implementation:Huggingface Datasets Dataset Map
Heuristics
- Heuristic:Helicone Helicone Rate Limiting Fail Open
- Heuristic:Fastai Fastbook Learning Rate Finder Rule
- Heuristic:Recommenders team Recommenders Test Timing Budgets
- Heuristic:Protectai Modelscan Nested Zip Not Supported
- Heuristic:Unstructured IO Unstructured Hi Res Model Configuration
- Heuristic:Apache Hudi Data Skipping Limitations
- Heuristic:ArroyoSystems Arroyo Worker Heartbeat Timeout
- Heuristic:Scikit learn contrib Imbalanced learn Sparse Matrix Handling
- Heuristic:Facebookresearch Audiocraft Gradient Balancing For Multi Loss
- Heuristic:Microsoft DeepSpeedExamples ZeRO Inference Throughput Tuning
Environments
- Environment:Microsoft Onnxruntime Python Inference Environment
- Environment:Helicone Helicone Docker Compose Infrastructure
- Environment:Getgauge Taiko Node Runtime
- Environment:Volcengine Verl CUDA GPU Environment
- Environment:Spcl Graph of thoughts Local LLaMA GPU Inference
- Environment:Snorkel team Snorkel Dask Distributed
- Environment:Alibaba ROLL Diffusion Video Environment
- Environment:Rapidsai Cuml Python RAPIDS Stack
- Environment:CarperAI Trlx DeepSpeed Multi GPU
- Environment:Apache Hudi Java Maven Build Environment