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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:Cohere ai Cohere python Chat Completion
- Workflow:Googleapis Python genai Context Caching
- Workflow:Volcengine Verl PPO Training With Reward Model
- Workflow:Tencent Ncnn Image Classification Inference
- Workflow:Huggingface Diffusers Checkpoint Conversion
- Workflow:Predibase Lorax Multi Adapter Merging
- Workflow:Teamcapybara Capybara Selenium Driver Configuration
- Workflow:Unslothai Unsloth Vision Model Finetuning
- Workflow:Tensorflow Tfjs Transfer Learning
- Workflow:Kserve Kserve LLM Inference Serving
Principles
- Principle:Rapidsai Cuml Random Projection
- Principle:AUTOMATIC1111 Stable diffusion webui Learning rate scheduling
- Principle:Apache Airflow Task Execution TEI
- Principle:ClickHouse ClickHouse Interactive Client Connection
- Principle:Huggingface Optimum Transformation Composition
- Principle:ClickHouse ClickHouse Streaming JSON Tokenization
- Principle:Bitsandbytes foundation Bitsandbytes FSDP Quant State Recovery
- Principle:Sail sg LongSpec Distributed Training
- Principle:Huggingface Peft Adapter Persistence
- Principle:HKUDS AI Trader Frontend Data Loading
Implementations
- Implementation:LMCache LMCache Controller Message
- Implementation:Ollama Ollama XServer Show
- Implementation:Ggml org Llama cpp Hparams Header
- Implementation:Helicone Helicone App Component
- Implementation:NVIDIA NeMo Curator PreviewStage
- Implementation:TobikoData Sqlmesh Context Plan Apply For Promotion
- Implementation:Farama Foundation Gymnasium Performance Benchmark
- Implementation:Sail sg LongSpec Bulma Slider
- Implementation:Haosulab ManiSkill PushT
- Implementation:InternLM Lmdeploy GetEnv
Heuristics
- Heuristic:SeleniumHQ Selenium Warning Deprecated HasDownloads GetDownloadableFiles
- Heuristic:Run llama Llama index Embedding Batch Size Tuning
- Heuristic:Microsoft Autogen Graph Validation Rules
- Heuristic:Ucbepic Docetl Optimizer Sample Sizes
- Heuristic:Alibaba MNN Weight Quantization Strategy
- Heuristic:Huggingface Open r1 Test Batch Early Termination
- Heuristic:Openai Openai agents python Default Max Turns Safety Limit
- Heuristic:DistrictDataLabs Yellowbrick NaN Data Handling
- Heuristic:Princeton nlp Tree of thought llm Functools Partial Model Binding
- Heuristic:OpenGVLab InternVL Loss Reduction Strategy
Environments
- Environment:Alibaba ROLL Diffusion Video Environment
- Environment:VainF Torch Pruning CUDA GPU Benchmarking
- Environment:Scikit learn Scikit learn Python Runtime Environment
- Environment:DataExpert io Data engineer handbook Flink Kafka Docker Environment
- Environment:Mlflow Mlflow OpenAI LLM Integration Environment
- Environment:Lakeraai Pint benchmark Python 310 With Pandas
- Environment:FMInference FlexLLMGen CUDA GPU
- Environment:Langchain ai Langchain Unit Test Network Isolation
- Environment:FlowiseAI Flowise Node Runtime Environment
- Environment:Apache Spark Release Build Environment