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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:Intel Ipex llm RAG With LangChain
- Workflow:Microsoft Agent framework Basic Agent Creation
- Workflow:Romsto Speculative Decoding Interactive CLI Comparison
- Workflow:Facebookresearch Audiocraft MusicGen Training Pipeline
- Workflow:Sail sg LongSpec Long Context Evaluation
- Workflow:Microsoft Playwright Codegen test recording
- Workflow:Huggingface Trl Direct Preference Optimization
- Workflow:Princeton nlp SimPO On Policy Data Generation
- Workflow:Mlfoundations Open flamingo Model Creation And Inference
- Workflow:LaurentMazare Tch rs MNIST Training
Principles
- Principle:Heibaiying BigData Notes Flink Kafka Source
- Principle:SeldonIO Seldon core Model Resource Definition
- Principle:Huggingface Datatrove Inference Checkpointing
- Principle:Apache Spark Application Lifecycle Monitoring
- Principle:Duckdb Duckdb Extension Loading Verification
- Principle:Togethercomputer Together python File Upload For Batch
- Principle:Webdriverio Webdriverio Local Tunnel Connectivity
- Principle:Scikit learn Scikit learn Ranking Metrics
- Principle:ClickHouse ClickHouse Third Party Dependency Management
- Principle:FlagOpen FlagEmbedding Package Installation
Implementations
- Implementation:Groq Groq python ErrorObject Type
- Implementation:Apache Dolphinscheduler UI Package Manifest
- Implementation:NVIDIA DALI YOLOv4 COCO
- Implementation:TA Lib Ta lib python Stream Function API
- Implementation:SqueezeAILab ETS YAML Config Loading
- Implementation:Kornia Kornia Rgb Conversions
- Implementation:Farama Foundation Gymnasium ReacherEnv V4
- Implementation:CARLA simulator Carla CMake Build Python API
- Implementation:Predibase Lorax GPTQ Quantize Engine
- Implementation:Rapidsai Cuml Build Script
Heuristics
- Heuristic:Langgenius Dify SSE Streaming Error Handling
- Heuristic:Mistralai Client python Stream File Uploads
- Heuristic:Bitsandbytes foundation Bitsandbytes Compute Dtype Mismatch Warning
- Heuristic:Spotify Luigi Atomic File Writes
- Heuristic:Mlc ai Mlc llm Metal KV Cache Capacity Limit
- Heuristic:ARISE Initiative Robosuite XML Reset Method Tradeoff
- Heuristic:Pytorch Serve Batch Size Tuning
- Heuristic:Romsto Speculative Decoding KV Cache Instability
- Heuristic:Ggml org Ggml Quantization Type Selection
- Heuristic:OpenGVLab InternVL Loss Reduction Strategy
Environments
- Environment:OpenGVLab InternVL Flash Attention 2
- Environment:Getgauge Taiko Linux System Libraries
- Environment:Facebookresearch Habitat lab HITL Runtime Environment
- Environment:Spcl Graph of thoughts OpenAI API Access
- Environment:Huggingface Diffusers Quantization Environment
- Environment:Mbzuai oryx Awesome LLM Post training Python Matplotlib
- Environment:Microsoft Semantic kernel ONNX CUDA Environment
- Environment:Huggingface Alignment handbook PyTorch CUDA
- Environment:PeterL1n BackgroundMattingV2 PyTorch CUDA
- Environment:Guardrails ai Guardrails Docker Server Runtime