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PyTorch
PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing, primarily developed by Facebook's AI Research lab.
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Stable Diffusion web UI
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Clone a voice in 5 seconds to generate arbitrary speech in real-time
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YOLOv5
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Learn how to responsibly develop, deploy and maintain production machine learning applications.
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GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
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PyTorch Tutorial for Deep Learning Researchers
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Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
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Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
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DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
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PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
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OpenMMLab Detection Toolbox and Benchmark
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The fastai deep learning library
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Deep learning framework to train, deploy, and ship AI products Lightning fast.
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Visualizer for neural network, deep learning, and machine learning models
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Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
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JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
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Image-to-Image Translation in PyTorch
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Created by Facebook's AI Research lab (FAIR)
Released September 2016
Latest release about 2 months ago
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