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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:Elevenlabs Elevenlabs python Voice Cloning
- Workflow:Sktime Pytorch forecasting DeepAR Probabilistic Forecasting
- Workflow:Datajuicer Data juicer LLM Powered Data Generation
- Workflow:Langgenius Dify Visual Workflow Builder
- Workflow:Bentoml BentoML Model Store Management
- Workflow:Openai Evals Creating a model graded eval
- Workflow:Huggingface Transformers PEFT Adapter Integration
- Workflow:Eventual Inc Daft Distributed UDF Processing
- Workflow:VainF Torch Pruning Sparse Training Pruning
- Workflow:Romsto Speculative Decoding Ngram Assisted Speculative Decoding
Principles
- Principle:Puppeteer Puppeteer PDF Generation
- Principle:NVIDIA NeMo Aligner Hydra Training Configuration
- Principle:Iamhankai Forest of Thought Answer Equivalence Checking
- Principle:Iterative Dvc Concurrent Processing
- Principle:Tensorflow Tfjs Model Compilation
- Principle:ClickHouse ClickHouse Code Review Process
- Principle:FlowiseAI Flowise Audio Visualization
- Principle:Triton inference server Server SageMaker Integration
- Principle:Facebookresearch Audiocraft Audio Dataset Preparation
- Principle:Diagram of thought Diagram of thought Final Synthesis
Implementations
- Implementation:LaurentMazare Tch rs Darknet Builder
- Implementation:Google deepmind Mujoco MJWarp Collision SDF
- Implementation:Unslothai Unsloth MoE Ops
- Implementation:Sail sg LongSpec OCW Courses Eval
- Implementation:AUTOMATIC1111 Stable diffusion webui UI Settings
- Implementation:Apache Paimon Ray Data Read Json
- Implementation:DevExpress Testcafe TestCafe Close
- Implementation:ARISE Initiative Robosuite TextureModder
- Implementation:Microsoft Onnxruntime Module Optimizer Scheduler Init
- Implementation:Google deepmind Mujoco mjr render
Heuristics
- Heuristic:Kornia Kornia CPU GPU Branching Tip
- Heuristic:Mistralai Client python Tool Docstring Requirement
- Heuristic:Neuml Txtai MacOS Stability Workarounds
- Heuristic:LLMBook zh LLMBook zh github io IGNORE INDEX Loss Masking
- Heuristic:Romsto Speculative Decoding KV Cache Instability
- Heuristic:Rapidsai Cuml Dask Data Partitioning
- Heuristic:Tensorflow Serving Model Warmup Strategy
- Heuristic:OpenGVLab InternVL Pixel Shuffle Downsampling
- Heuristic:CarperAI Trlx Reward Model Layer Freezing
- Heuristic:VainF Torch Pruning GQA Head Pruning Constraints
Environments
- Environment:Tensorflow Tfjs Python Converter
- Environment:Vllm project Vllm GitHub
- Environment:Allenai Open instruct CUDA GPU Training
- Environment:Deepseek ai Janus CUDA GPU Environment
- Environment:ChenghaoMou Text dedup Python 3 12 Environment
- Environment:Intel Ipex llm NPU Cpp Environment
- Environment:Alibaba ROLL DeepSpeed Training Environment
- Environment:Neuml Txtai Docker Deployment Environment
- Environment:Speechbrain Speechbrain PyTorch CUDA Runtime
- Environment:Google deepmind Mujoco MJX JAX Environment