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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:Onnx Onnx Version Conversion
- Workflow:AUTOMATIC1111 Stable diffusion webui Textual inversion training
- Workflow:Avhz RustQuant Model Calibration
- Workflow:NVIDIA DALI Video Processing Pipeline
- Workflow:Openai Openai agents python Tool Integrated Agent
- Workflow:Hiyouga LLaMA Factory DPO Preference Alignment
- Workflow:Apache Beam Twister2 Batch Execution
- Workflow:Cleanlab Cleanlab Classification Label Issue Detection
- Workflow:Microsoft Semantic kernel Vector Store RAG Pipeline
- Workflow:Webdriverio Webdriverio WDIO Testrunner Setup
Principles
- Principle:Ucbepic Docetl Dataset Upload And Operation Creation
- Principle:OpenHands OpenHands Nested Conversation Creation
- Principle:NVIDIA DALI Image Normalization
- Principle:Tensorflow Serving Resource Tracking
- Principle:Heibaiying BigData Notes Spark Aggregation and Join
- Principle:Mbzuai oryx Awesome LLM Post training Collection Parameter Configuration
- Principle:Datahub project Datahub Actions Framework Installation
- Principle:Elevenlabs Elevenlabs python Text Source Preparation
- Principle:PacktPublishing LLM Engineers Handbook User Resolution
- Principle:Eventual Inc Daft Distributed Scaling Ray
Implementations
- Implementation:Hiyouga LLaMA Factory RM Workflow
- Implementation:Triton inference server Server L0 Lifecycle Test
- Implementation:Ggml org Ggml Cpu unary ops
- Implementation:SeldonIO Seldon core Open Inference Protocol V2 OpenAPI
- Implementation:Openai Openai python Eval List Params
- Implementation:Open compass VLMEvalKit VGRPBench Thermometers
- Implementation:Ggml org Llama cpp Conversion Utils
- Implementation:Pola rs Polars Streaming Query Pipeline
- Implementation:ContextualAI HALOs AutoModelForBradleyTerry From Pretrained
- Implementation:LLMBook zh LLMBook zh github io Quantize Func
Heuristics
- Heuristic:Apache Spark Build Fallback Strategies
- Heuristic:Langgenius Dify Gevent Monkey Patching Order
- Heuristic:Hpcaitech ColossalAI Warmup Steps Heuristic
- Heuristic:Microsoft Onnxruntime Graph Optimization Level Selection
- Heuristic:Speechbrain Speechbrain Dynamic Mixing Parameters
- Heuristic:Tensorflow Serving GPU Memory And CPU Optimization
- Heuristic:Microsoft DeepSpeedExamples RLHF Stability Constraints
- Heuristic:InternLM Lmdeploy KV Quantization Tradeoffs
- Heuristic:Evidentlyai Evidently Drift Detection Thresholds
- Heuristic:Treeverse LakeFS S3 Multipart Size Constraint
Environments
- Environment:Microsoft Agent framework Python 3 10 Runtime
- Environment:Romsto Speculative Decoding CUDA PyTorch
- Environment:Deepspeedai DeepSpeed CPU Environment
- Environment:Vllm project Vllm Distributed
- Environment:Haosulab ManiSkill GPU CUDA Simulation
- Environment:Huggingface Trl DeepSpeed Environment
- Environment:NVIDIA DALI FFmpeg Environment
- Environment:Apache Flink Node Build Environment
- Environment:Explodinggradients Ragas Google Drive Backend Environment
- Environment:Kubeflow Pipelines Python SDK