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Computing","Machine Learning","Deep Learning","Data Manipulation","Explainability","LLM","Tracing","Computer Vision","Evaluation"],"sub_categories":[],"readme":"# awesome-ml-python-packages\nCurated Collection of Valuable Machine Learning Packages\n## Data Manipulation\n- [Pandas](https://pandas.pydata.org/)\n- [Datasets](https://github.com/huggingface/datasets)\n- [narwhals](https://github.com/narwhals-dev/narwhals)\n- [polars](https://github.com/pola-rs/polars)\n\n## Scientific Computing\n- [NumPy](https://numpy.org/)\n- [SciPy](https://scipy.org/)\n\n## Machine Learning\n- [scikit-learn](https://scikit-learn.org/stable/)\n- [XGBoost](https://xgboost.readthedocs.io/en/stable/index.html)\n-  [MLlib](https://spark.apache.org/mllib/)\n\n## NLP\n- [NLTK](https://www.nltk.org/)\n- [spaCy](https://spacy.io/)\n- [gensim](https://github.com/RaRe-Technologies/gensim)\n- [🤗 Transformers](https://github.com/huggingface/transformers/tree/main)\n- [BERTopic](https://maartengr.github.io/BERTopic/index.html)\n- [flairNLP](https://github.com/flairNLP/flair)\n- [Spark NLP](https://github.com/JohnSnowLabs/spark-nlp)\n- [GLiNER](https://github.com/urchade/GLiNER)\n- [Snips NLU](https://snips-nlu.readthedocs.io/en/latest/)\n- [Splink](https://github.com/moj-analytical-services/splink)\n- [FunASR](https://github.com/modelscope/FunASR)\n  \n## LLM\n- [LangChain](https://github.com/langchain-ai/langchain)\n- [LlamaIndex](https://github.com/run-llama/llama_index)\n- [AutoGen](https://github.com/microsoft/autogen)\n- [vLLM](https://github.com/vllm-project/vllm)\n- [SGLang](https://github.com/sgl-project/sglang/tree/main)\n- [Instructor](https://github.com/567-labs/instructor)\n- [kura](https://github.com/567-labs/kura)\n- [smolagents](https://github.com/huggingface/smolagents)\n- [unsloth](https://github.com/unslothai/unsloth)\n- [litellm](https://github.com/BerriAI/litellm)\n- [autogen](https://github.com/microsoft/autogen)\n\n## Computer Vision\n- [SAM2](https://github.com/facebookresearch/sam2)\n- [Segment Geospatial](https://github.com/opengeos/segment-geospatial)\n- [YOLO](https://github.com/ultralytics/ultralytics)\n\n## Tracing\n- [trackio](https://github.com/gradio-app/trackio)\n- [mlflow](https://github.com/mlflow/mlflow)\n- [opik](https://github.com/comet-ml/opik)\n\n## Deep Learning\n- [PyTorch](https://pytorch.org)\n- [Keras](https://keras.io/)\n\n## Explainability\n- [lime](https://github.com/marcotcr/lime)\n- [SHAP](https://shap.readthedocs.io/en/latest/)\n- [Shapash](https://github.com/MAIF/shapash)\n- [BertViz](https://github.com/jessevig/bertviz)\n- [SAELens](https://github.com/jbloomAus/SAELens)\n\n## Evaluation\n- [Evaluate](https://github.com/huggingface/evaluate)\n- [lighteval](https://github.com/huggingface/lighteval)\n- [Deepchecks](https://github.com/deepchecks/deepchecks)\n- [seqeval](https://github.com/chakki-works/seqeval)\n- [ragas](https://github.com/explodinggradients/ragas)\n- [inspect-ai](https://github.com/UKGovernmentBEIS/inspect_ai)\n- [bloom](https://github.com/safety-research/bloom)\n","projects_url":"https://awesome.ecosyste.ms/api/v1/lists/mnikiema%2Fawesome-ml-python-packages/projects"}