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Techniques for deep learning with satellite & aerial imagery
:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
Fast and Accurate ML in 3 Lines of Code
Fast and accurate AI powered file content types detection
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
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YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
Refine high-quality datasets and visual AI models
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
Image-to-image translation with conditional adversarial nets
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Large Language Model Text Generation Inference
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Minimal and clean examples of machine learning algorithms implementations
TensorFlow CNN for fast style transfer ⚡🖥🎨🖼
Roadmap to becoming an Artificial Intelligence Expert in 2022