Misha Brukman's Projects
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Data manipulation and transformation for audio signal processing, powered by PyTorch
Generate embeddings from large-scale graph-structured data.
The original weights of some Caffe models, ported to PyTorch.
Image-to-Image Translation in PyTorch
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Minicourse in Deep Learning with PyTorch
PyTorch elastic training
ELF: a platform for game research with AlphaGoZero/AlphaZero reimplementation
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Compute FID scores with PyTorch.
PyTorch implementations of Generative Adversarial Networks.
High-level library to help with training neural networks in PyTorch
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
A CPU+GPU Profiling library that provides access to timeline traces and hardware performance counters.
Introductory lecture on Pytorch
The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
Model Serving on PyTorch
Fast, general, and tested differentiable structured prediction in PyTorch
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
Superpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629
A tensor-aware point-to-point communication primitive for machine learning
Data loaders and abstractions for text and NLP
PyTorch Tutorial for Deep Learning Researchers
PyTorch tutorials.
Datasets, Transforms and Models specific to Computer Vision
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
Implementation of Neural Style Transfer in Pytorch