Atividades da disciplina IA024 - Redes Neurais Profundas para Processamento de Linguagem Natural, FEEC-Unicamp, 1s2024
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Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns.
Atividades da disciplina IA024 - Redes Neurais Profundas para Processamento de Linguagem Natural, FEEC-Unicamp, 1s2024
Multi Model Server is a tool for serving neural net models for inference
The code powering searchthearxiv.com, a simple semantic search engine for more than 300,000 ML papers on arXiv.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Signal processing project repo
An Open Source Machine Learning Framework for Everyone
Website for Privacy Engineering Program at CMU
Modular Natural Language Processing workflows with Keras
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Artificial Intelligence - Machine Learning - Deep Learning - Samples
Sharp Grad is a lightweight automatic differentiation library in C#. It's suitable for implementing machine learning algorithms, scientific computations, and any applications that require gradient-based optimization.
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
oneAPI Deep Neural Network Library (oneDNN)
Técnicas e recursos para estudar ciência de dados.
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
Implementing a Denoising Diffsuion Probabilistic Model (DDPM) on Tensorflow from scratch for Pokémon sprites synthesis