Linking pages
- GitHub - karpathy/neuraltalk2: Efficient Image Captioning code in Torch, runs on GPU https://github.com/karpathy/neuraltalk2 23 comments
- GitHub - paarthneekhara/text-to-image: Text to image synthesis using thought vectors https://github.com/paarthneekhara/text-to-image 21 comments
- GitHub - apple/ml-hypersim: Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding https://github.com/apple/ml-hypersim 20 comments
- GitHub - jostmey/dkm: Dynamic Kernel Matching (DKM) for Classifying Data with Non-conforming Features https://github.com/jostmey/dkm 18 comments
- Keras vs. PyTorch: Alien vs. Predator recognition with transfer learning - deepsense.ai https://deepsense.ai/keras-vs-pytorch-avp-transfer-learning/ 11 comments
- GitHub - erikbern/deep-pink: Deep Pink is a chess AI that learns to play chess using deep learning. https://github.com/erikbern/deep-pink 5 comments
- TensorFlow 2 Tutorial: Get Started in Deep Learning with tf.keras https://machinelearningmastery.com/tensorflow-tutorial-deep-learning-with-tf-keras/ 4 comments
- GitHub - achael/eht-imaging: Imaging, analysis, and simulation software for radio interferometry https://github.com/achael/eht-imaging 4 comments
- Introducing Versioned HDF5 | Quansight Labs https://labs.quansight.org/blog/2020/08/introducing-versioned-hdf5/ 2 comments
- GitHub - brandondube/prysm: physical optics: integrated modeling, phase retrieval, segmented systems, polynomials and fitting, sequential raytracing... https://github.com/brandondube/prysm 2 comments
- GitHub - nv-legate/cunumeric: An Aspiring Drop-In Replacement for NumPy at Scale https://github.com/nv-legate/legate.numpy 1 comment
- GitHub - lazydroid/deep-murasaki: Deep learning chess engine, that has no idea about chess rules, but watches and learns https://github.com/lazydroid/deep-murasaki 1 comment
- Technoset – Umut Isik https://www.math.uci.edu/~isik/posts/Technoset.html 0 comments
- GitHub - facebookresearch/co3d: Tooling for the Common Objects In 3D dataset. https://github.com/facebookresearch/co3d 0 comments
- How to Classify Photos of Dogs and Cats (with 97% accuracy) https://machinelearningmastery.com/how-to-develop-a-convolutional-neural-network-to-classify-photos-of-dogs-and-cats/ 0 comments
- Gathering and Using Big Data from Public APIs for Data Science - The GitHub Popularity Project https://www.kamwithk.com/big-data-from-public-apis-for-data-science-the-github-popularity-project 0 comments
- GitHub - facebookresearch/low-shot-shrink-hallucinate: Presenting Low-shot Visual Recognition by Shrinking and Hallucinating Features https://github.com/facebookresearch/low-shot-shrink-hallucinate 0 comments
- Nearest Neighbors At Scale. A Little Context | by Yonas Tesfaye | Gab41 https://gab41.lab41.org/nearest-neighbors-at-scale-e55a8d02b16b#.pg2vkl8om 0 comments
- GitHub - kishwarshafin/pepper: PEPPER-Margin-DeepVariant https://github.com/kishwarshafin/pepper 0 comments
- GitHub - anantzoid/VQA-Keras-Visual-Question-Answering: Visual Question Answering task written in Keras that answers questions about images https://github.com/anantzoid/VQA-Keras-Visual-Question-Answering 0 comments
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