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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 |
Explore Pages
Workflows
- Workflow:Testtimescaling Testtimescaling github io Adding a New Paper
- Workflow:Getgauge Taiko Form Interaction Testing
- Workflow:Marker Inc Korea AutoRAG RAG Pipeline Optimization
- Workflow:NVIDIA NeMo Aligner REINFORCE Training
- Workflow:Kubeflow Kubeflow Platform Deployment
- Workflow:Speechbrain Speechbrain Speech Enhancement Training
- Workflow:Huggingface Diffusers Text to Image Inference
- Workflow:Langgenius Dify Workflow Builder and Execution
- Workflow:Langchain ai Langchain Adding Partner Integration
- Workflow:Pola rs Polars Time Series Analysis
Principles
- Principle:Haosulab ManiSkill Reward Success Design
- Principle:Vllm project Vllm LoRA Adapter Preparation
- Principle:AUTOMATIC1111 Stable diffusion webui Internationalization
- Principle:Triton inference server Server Model Namespacing Testing
- Principle:Microsoft DeepSpeedExamples Multi Dataset VQA Preparation
- Principle:Webdriverio Webdriverio Error Reporting
- Principle:Online ml River Feature Standardization
- Principle:Bitsandbytes foundation Bitsandbytes FSDP 4bit Quantization
- Principle:Bitsandbytes foundation Bitsandbytes FP8 Linear Layer
- Principle:Scikit learn contrib Imbalanced learn Combined Over Under Sampling
Implementations
- Implementation:Anthropics Anthropic sdk python BetaRawContentBlockStartEvent
- Implementation:FlagOpen FlagEmbedding Add Reranker Score Script
- Implementation:Alibaba MNN FlatBuffers Flatc
- Implementation:Predibase Lorax BGMV Expand Kernel
- Implementation:NVIDIA NeMo Aligner Image Text RMS
- Implementation:Helicone Helicone GetLLMSchemaResponse
- Implementation:Avhz RustQuant Power Backend
- Implementation:NVIDIA NeMo Curator Base Downloader
- Implementation:FlagOpen FlagEmbedding MLVU Topic Reasoning Data
- Implementation:Huggingface Transformers Grafana Benchmark Dashboard
Heuristics
- Heuristic:Apache Dolphinscheduler Failover Marker TTL
- Heuristic:Gretelai Gretel synthetics GPU Memory Allow Growth
- Heuristic:Turboderp org Exllamav2 Paged Cache Configuration
- Heuristic:Nightwatchjs Nightwatch Node 17 DNS IPv4 Workaround
- Heuristic:OpenRLHF OpenRLHF Adam Offload Memory Tip
- Heuristic:Apache Airflow Memory Management Tips
- Heuristic:Unslothai Unsloth Padding Free Packing
- Heuristic:Treeverse LakeFS Warning Deprecated InternalApi Methods
- Heuristic:Onnx Onnx Opset Version Selection
- Heuristic:Alibaba ROLL Sequence Packing Alignment
Environments
- Environment:Unslothai Unsloth CUDA VLLM
- Environment:Interpretml Interpret Python Core Environment
- Environment:Googleapis Python genai Python 3 10 SDK Runtime
- Environment:Diagram of thought Diagram of thought LLM API
- Environment:PacktPublishing LLM Engineers Handbook API Credentials
- Environment:Pola rs Polars GPU Execution Environment
- Environment:Microsoft Semantic kernel ONNX CUDA Environment
- Environment:Cleanlab Cleanlab Image Quality Dependencies
- Environment:Sgl project Sglang GitHub Actions
- Environment:Deepspeedai DeepSpeed NVMe Environment