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Deep learning
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.
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WebApps in pure Python. No JavaScript, HTML and CSS needed
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ONNX-compatible LightGlue: Local Feature Matching at Light Speed. Supports TensorRT, OpenVINO
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Beginner Friendly CheatCodes
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Contains .ipynb and other files related to deep learning (building models, transfer learning, training / testing models, data preparation, visualization, predictions, etc...).
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A pyroch based Deep learning aided radar tracker
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Mastering-TensorFlow-2.0-A-30-Day-Journey
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Helm charts for creating reproducible and maintainable deployments of Polyaxon with Kubernetes.
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A collection of HDR imaging papers.
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NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
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A reinforcement learning model specialized in stock prediction utilizing deep learning techniques, incorporating reward mechanisms, compatible with any machine equipped with Python.
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Large Language Model Text Generation Inference
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Alex Kendall's Website
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🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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Implementations of Deep Learning Techniques
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Tensors and Dynamic neural networks in Python with strong GPU acceleration
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个人总结的大模型、自然语言处理NLP、多模态、计算机视觉CV等方向paper的阅读笔记;收集到或者使用到的一些NLP、CV等领域的优秀开源仓库;其他:如数据集、评测leaderboard等
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May 18, 2024
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