botsman11

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

CustomTkinter

A modern and customizable python UI-library based on Tkinter

nebullvm

Plug and play modules to optimize the performances of your AI systems 🚀

models

A collection of pre-trained, state-of-the-art models in the ONNX format

PyOxidizer

A modern Python application packaging and distribution tool

Awesome-Deblurring

A curated list of resources for Image and Video Deblurring

Sun-Valley-ttk-theme

A gorgeous theme for Tkinter/ttk, based on the Sun Valley visual style ✨

onnx-modifier

A tool to modify ONNX models in a visualization fashion, based on Netron and Flask.

knowledge-distillation-papers

knowledge distillation papers

Azure-ttk-theme

A stunning modern theme for ttk inspired by Fluent Design 💠

onnx2torch

Convert ONNX models to PyTorch.

Dynamic-convolution-Pytorch

Pytorch!!!Pytorch!!!Pytorch!!! Dynamic Convolution: Attention over Convolution Kernels (CVPR-2020)

NDR-code

【NeurIPS 2022 Spotlight】Neural Surface Reconstruction of Dynamic Scenes with Monocular RGB-D Camera

optnet

OptNet: Differentiable Optimization as a Layer in Neural Networks

galois

A performant NumPy extension for Galois fields and their applications

pytorch_optimizer

optimizer & lr scheduler & loss function collections in PyTorch

pytorch-histogram-loss

PyTorch implementation for Histogram Loss

NM-sparsity

torch-discounted-cumsum

Fast Discounted Cumulative Sums in PyTorch

jestimator

Amos optimizer with JEstimator lib.

L-DNQ

Codes for AAAI2019 paper: Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data

DearPyGui2

Dear PyGui 2: A Dear ImGui Python Binding with Extras

structured_transposable_masks

Code for ICML 2021 submission

DemonRangerOptimizer

Quasi Hyperbolic Rectified DEMON Adam/Amsgrad with AdaMod, Gradient Centralization, Lookahead, iterative averaging and decorrelated Weight Decay

Dual-numbers-and-automatic-differentiation-using-Python

Implemented the forward mode of automatic differentiation with the help of dual numbers using Python.

deep-hist

PyTorch implementation of Histogram Layers from DeepHist: Differentiable Joint and Color Histogram Layers for Image-to-Image Translation

pytorch-differentiable-histogram

PyTorch implementation for differentiable histogram

Noise2Grad_Pytorch_code

NodeEditor

py-mvvm

MVVM pattern for various python UI libraries