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Language: Python
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All Algorithms implemented in Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
The world's simplest facial recognition api for Python and the command line
A natural language interface for computers
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
LlamaIndex is a data framework for your LLM applications
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Python sample codes for robotics algorithms.
Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
Multilingual Sentence & Image Embeddings with BERT
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Low-code framework for building custom LLMs, neural networks, and other AI models
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.
Perform data science on data that remains in someone else's server
OCR, layout analysis, reading order, line detection in 90+ languages
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
Bayesian Modeling and Probabilistic Programming in Python
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…
Uplift modeling and causal inference with machine learning algorithms