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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:Teamcapybara Capybara RSpec Integration Setup
- Workflow:Recommenders team Recommenders Algorithm Benchmarking
- Workflow:Openai Whisper Word Level Timestamps
- Workflow:Huggingface Trl PPO RLHF Training
- Workflow:Google deepmind Mujoco GPU batched simulation MJX
- Workflow:Langchain ai Langchain Vector Store Operations
- Workflow:Princeton nlp Tree of thought llm Adding new task
- Workflow:ChenghaoMou Text dedup Bloom Filter Deduplication
- Workflow:Apache Beam Dataflow Streaming Execution
- Workflow:OpenGVLab InternVL Supervised Finetuning
Principles
- Principle:FlowiseAI Flowise Chat Widget Embedding
- Principle:Huggingface Datatrove Unigram Log Probability Filtering
- Principle:Marker Inc Korea AutoRAG Evaluator Initialization
- Principle:Trailofbits Fickling Benchmark Payload Injection
- Principle:Dagster io Dagster Declarative Automation
- Principle:FMInference FlexLLMGen DeepSpeed Package Build
- Principle:Danijar Dreamerv3 Distributed Actor Inference
- Principle:Pytorch Serve Pipeline Parallelism
- Principle:Online ml River Built In Datasets
- Principle:CrewAIInc CrewAI Output Processing
Implementations
- Implementation:Openclaw Openclaw SetupChannels
- Implementation:Langgenius Dify RetrievalConfig Type
- Implementation:Recommenders team Recommenders Download Utils
- Implementation:Anthropics Anthropic sdk python JSON Output Format
- Implementation:Ollama Ollama Llama Memory Interface
- Implementation:Speechbrain Speechbrain Train IWSLT22 W2V mBART
- Implementation:Arize ai Phoenix Legacy AnthropicModel
- Implementation:Ucbepic Docetl Dataset Debate Baseline
- Implementation:Avhz RustQuant Linear Interpolation
- Implementation:Bentoml BentoML Gradio Mount
Heuristics
- Heuristic:Sail sg LongSpec Tree Shape Configuration
- Heuristic:Vibrantlabsai Ragas Reasoning Model Parameter Constraints
- Heuristic:Avhz RustQuant Interpolation Method Selection
- Heuristic:Testtimescaling Testtimescaling github io Dual JSON Sync
- Heuristic:Guardrails ai Guardrails Async Vs Sync Validation Mode
- Heuristic:Intel Ipex llm CCL Distributed Training Tips
- Heuristic:TA Lib Ta lib python Thread Safety With Abstract API
- Heuristic:Romsto Speculative Decoding Ngram Order Selection
- Heuristic:Duckdb Duckdb Build Parallelism Tuning
- Heuristic:Huggingface Transformers Gradient Checkpointing Memory Tradeoff
Environments
- Environment:Alibaba ROLL SGLang Inference Environment
- Environment:Junyanz Pytorch CycleGAN and pix2pix DDP Multi GPU
- Environment:Openai Openai python Realtime WebSocket
- Environment:Googleapis Python genai Python 3 10 SDK Runtime
- Environment:DevExpress Testcafe Node Runtime
- Environment:Google deepmind Dm control Python MuJoCo Runtime
- Environment:Huggingface Open r1 vLLM Server
- Environment:Gretelai Gretel synthetics TensorFlow GPU Environment
- Environment:Microsoft Playwright Platform Support Environment
- Environment:TobikoData Sqlmesh GitHub CICD Runner