Misha Brukman's Projects
A python client for etcd
Python best practices guidebook, written for humans.
The "Python Machine Learning (1st edition)" book code repository and info resource
The "Python Machine Learning (2nd edition)" book code repository and info resource
Python library to perform (lossless) images optimization using external tools
Python bindings for the snappy google library
Python bindings to the Zstandard (zstd) compression library
Jupyter Notebooks for the Python Data Science Handbook
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.
C++ Implementation of PyTorch Tutorials for Everyone
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.
Compiler for Neural Network hardware accelerators
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