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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:Helicone Helicone Cost Calculation Pipeline
- Workflow:Axolotl ai cloud Axolotl Full Finetuning Distributed
- Workflow:Dotnet Machinelearning AutoML Experiment
- Workflow:Huggingface Diffusers Model Quantization
- Workflow:Apache Spark Application Submission
- Workflow:Gretelai Gretel synthetics DataFrame Batch Synthesis
- Workflow:Huggingface Datasets Dataset Loading and Exploration
- Workflow:ARISE Initiative Robosuite Domain Randomization Training
- Workflow:BerriAI Litellm Response Caching
- Workflow:Huggingface Diffusers Checkpoint Conversion
Principles
- Principle:AUTOMATIC1111 Stable diffusion webui High resolution fix
- Principle:Huggingface Diffusers LoRA Export
- Principle:SqueezeAILab ETS Reward Model Serving
- Principle:Vllm project Vllm Sampling Configuration
- Principle:OpenGVLab InternVL Vision Transformer Backbone
- Principle:OpenGVLab InternVL DDP Gradient Compression
- Principle:FlagOpen FlagEmbedding Cross Encoder Reranking
- Principle:Vespa engine Vespa Unicode Normalization
- Principle:NVIDIA DALI Image Resize Augmentation
- Principle:AUTOMATIC1111 Stable diffusion webui Inpainting Pipeline
Implementations
- Implementation:Tensorflow Tfjs Layer Utils
- Implementation:Apache Druid FilterMenu
- Implementation:DataExpert io Data engineer handbook Docker Compose PostgreSQL Stack
- Implementation:Fede1024 Rust rdkafka ClientConfig Builder
- Implementation:Datajuicer Data juicer ImageTaggingMapper
- Implementation:Openai Openai node EventStream
- Implementation:FlowiseAI Flowise AnalyseFlow
- Implementation:Datajuicer Data juicer ImageWatermarkFilter
- Implementation:Infiniflow Ragflow Admin Utils
- Implementation:Apache Druid Website Sidebar Navigation
Heuristics
- Heuristic:Gretelai Gretel synthetics Gumbel Softmax NaN Retry
- Heuristic:MaterializeInc Materialize CI Agent Prioritization
- Heuristic:Farama Foundation Gymnasium Sync Vs Async VectorEnv Selection
- Heuristic:Spotify Luigi Batch Parameter Aggregation
- Heuristic:Alibaba ROLL Gradient Checkpointing Recomputation
- Heuristic:Tensorflow Serving Model Warmup Strategy
- Heuristic:Alibaba MNN LLM Runtime Tuning
- Heuristic:NVIDIA NeMo Aligner PPO Critic Warmup Tip
- Heuristic:DataTalksClub Data engineering zoomcamp DuckDB OOM Memory Management
- Heuristic:Lucidrains X transformers Sampling Temperature Strategy
Environments
- Environment:Infiniflow Ragflow Data Source Credentials
- Environment:Deepset ai Haystack OpenAI API Environment
- Environment:Openai Openai node Node 20 Runtime
- Environment:Promptfoo Promptfoo Provider API Keys
- Environment:Kubeflow Kubeflow Git GitHub Environment
- Environment:Apache Beam Java Build Environment
- Environment:CarperAI Trlx NeMo Megatron
- Environment:Sgl project Sglang Web
- Environment:CarperAI Trlx DeepSpeed Multi GPU
- Environment:Pyro ppl Pyro CUDA GPU Acceleration