arunmallya
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Advanced Python Mastery (course by @dabeaz)
PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis
A collection of advanced CSS styles to create realistic-looking effects for the faces of Pokemon cards.
Rich is a Python library for rich text and beautiful formatting in the terminal.
Use your iPhone camera as a video source in OBS Studio and stream high quality video from your iPhone's camera over USB
Pytorch implementation of various Knowledge Distillation (KD) methods.
Latex code for making neural networks diagrams
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
Video Compression through Image Interpolation (ECCV'18) [PyTorch]
Deep learning for video compression.
A simple, ugly, desktop-only web app for meal prepping to count calories.
Chroma is color conversion library for Processing.
Translate images to unseen domains in the test time with few example images.
Differentiable bitonic sorting
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Quantized Neural Network PACKage - mobile-optimized implementation of quantized neural network operators
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
GPU Accelerated t-SNE for CUDA with Python bindings
Deep Clustering for Unsupervised Learning of Visual Features
Largest multi-label image database; ResNet-101 model; 80.73% top-1 acc on ImageNet
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch
Jupyter Tips, Tricks, Best Practices with Sample Code for Productivity Boost
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
A bestiary of evolutionary, swarm and other metaphor-based algorithms
PyTorch Implementation of the paper Learning to Reweight Examples for Robust Deep Learning