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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:Ggml org Llama cpp Multimodal Inference
- Workflow:Microsoft DeepSpeedExamples RLHF Training Pipeline
- Workflow:FlagOpen FlagEmbedding Embedder Inference
- Workflow:EvolvingLMMs Lab Lmms eval Server Mode Evaluation
- Workflow:Langchain ai Langchain Vector Store Operations
- Workflow:ARISE Initiative Robomimic Hyperparameter Sweep
- Workflow:Onnx Onnx Model Creation
- Workflow:Openai Openai python Audio Processing
- Workflow:Huggingface Peft Seq2Seq AdaLoRA Finetuning
- Workflow:Rapidsai Cuml Multi GPU Distributed ML
Principles
- Principle:Allenai Open instruct Actor Coordination
- Principle:Isaac sim IsaacGymEnvs Factory Scene Initialization
- Principle:FlagOpen FlagEmbedding Auto Embedding Model Loading
- Principle:Bentoml BentoML Container Image Building
- Principle:LMCache LMCache P2P KV Transfer
- Principle:Pyro ppl Pyro Tensor Variable Elimination
- Principle:SeldonIO Seldon core Pipeline Topology Definition
- Principle:Zai org CogVideo Video Export
- Principle:Anthropics Anthropic sdk python Client Initialization
- Principle:Apache Spark SQL Documentation Generation
Implementations
- Implementation:Langgenius Dify Languages Catalog
- Implementation:Recommenders team Recommenders GeoIMC Predict
- Implementation:Huggingface Datatrove ParquetWriter
- Implementation:Vllm project Vllm LLM Init Structured
- Implementation:Mage ai Mage ai Google Cloud Storage Source
- Implementation:Farama Foundation Gymnasium CartPoleEnv
- Implementation:CARLA simulator Carla StreamingEndPoint
- Implementation:Google deepmind Dm control MJCF Find Modify
- Implementation:Datahub project Datahub ProtobufExtensionFieldVisitor
- Implementation:Confident ai Deepeval Synthesizer Generate Goldens From Docs
Heuristics
- Heuristic:Mlfoundations Open flamingo KV Cache Classification Optimization
- Heuristic:NVIDIA NeMo Curator Deduplication Blocksize Tuning
- Heuristic:Microsoft Agent framework Declaration Only Tools Pattern
- Heuristic:Huggingface Datatrove Gopher Quality Thresholds
- Heuristic:DevExpress Testcafe Assertion Retry Timing
- Heuristic:Isaac sim IsaacGymEnvs GPU Pipeline Selection
- Heuristic:SeldonIO Seldon core Tracing Latency Tip
- Heuristic:Microsoft Onnxruntime Threading Configuration Tips
- Heuristic:Lance format Lance Fragment Sizing Strategy
- Heuristic:ARISE Initiative Robomimic HDF5 Cache Mode Selection
Environments
- Environment:Explodinggradients Ragas Python Runtime Environment
- Environment:Vllm project Vllm AMD ROCm
- Environment:Datajuicer Data juicer Ray Cluster Environment
- Environment:Huggingface Datasets PyTorch Integration
- Environment:CARLA simulator Carla Build From Source Requirements
- Environment:Alibaba ROLL DeepSpeed Training Environment
- Environment:Iterative Dvc Remote Storage Backends
- Environment:Dotnet Machinelearning TorchSharp Environment
- Environment:AUTOMATIC1111 Stable diffusion webui Xformers Attention
- Environment:VainF Torch Pruning YOLO Pruning Dependencies