Neural network library for digit classification powered by cuda
The library was built to work with MNIST dataset. python-mnist data parser was used to load the dataset.
The library uses Numba which supports CUDA-enabled GPUs with compute capability 2.0 or above with an up-to-date Nvidia driver. See the list of CUDA-enabled GPU cards
Trained weights are located in weights directory. Call load_weights method to use them.
Sparse VAE This repository contains the code for the paper ``Identifiable VAEs via Sparse Decoding''. Data Sources The datasets used in this paper wer
Transformer Hawkes Process Source code for Transformer Hawkes Process (ICML 2020). Run the code Dependencies Python 3.7. Anaconda contains all the req
Machine learning metrics for distributed, scalable PyTorch applications.
ProjectedGAN-pytorch Pytorch implementation of ProjectedGAN (https://arxiv.org/abs/2111.01007) Note: this repository is still under developement. @InP
This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset or label your dataset using our
Lightweight Hyperparameter Optimization π The mle-hyperopt package provides a simple and intuitive API for hyperparameter optimization of your Machin
Patches Are All You Need? - ConvMixer ConvMixer, an extremely simple model that is similar in spirit to the ViT and the even-more-basic MLP-Mixer in t
SWA Object Detection This project hosts the scripts for training SWA object detectors, as presented in our paper: @article{zhang2020swa, title={SWA
Neural Point-Based Graphics Project β Video β Paper Neural Point-Based Graphics Kara-Ali Aliev1 Artem Sevastopolsky1,2 Maria Kolos1,2 Dmitry Ulyanov3
Fast Style Transfer in TensorFlow Add styles from famous paintings to any photo in a fraction of a second! You can even style videos! It takes 100ms o
Blender add-ons for SMPL skeleton's poses and trans There are two blender add-ons for SMPL skeleton's poses and trans.The first is for making an offli
PiSL A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery. Sun, F., Liu, Y. and Sun, H., 2021. Physics-informe
[AAAI 2021]DropLoss for Long-Tail Instance Segmentation [AAAI 2021] DropLoss for Long-Tail Instance Segmentation Ting-I Hsieh*, Esther Robb*, Hwann-Tz
SLAPS-GNN This repo contains the implementation of the model proposed in SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks
# 1. Installing Maven & Pandas First, please install Java (JDK11) and Python 3 if they are not already. Next, make sure that Maven (for importing J
PEPit: Performance Estimation in Python This open source Python library provides a generic way to use PEP framework in Python. Performance estimation
RIFE - Real-Time Intermediate Flow Estimation for Video Frame Interpolation YouTube | BiliBili 16X interpolation results from two input images: Introd
A Strong Baseline for Image Semantic Segmentation Introduction This project is an open source semantic segmentation toolbox based on PyTorch. It is ba
PerfFuzz Performance problems in software can arise unexpectedly when programs are provided with inputs that exhibit pathological behavior. But how ca
Facial-Login-System This dlib-based facial login system is a technology capable of matching a human face from a digital webcam frame capture against a
17 Dec 12, 2022
111 Dec 26, 2022
1.2k Jan 06, 2023
17 Dec 14, 2022
626 Dec 31, 2022
136 Jan 08, 2023
8 Oct 03, 2022
237 Nov 28, 2022
252 Dec 13, 2022
5 Oct 24, 2021
154 Jan 04, 2023
8 Jul 13, 2022
37 Dec 02, 2022
60 Dec 22, 2022
3 Dec 17, 2022
53 Nov 16, 2022
28 Dec 09, 2022
49 Sep 20, 2022
125 Nov 18, 2022
3 Apr 23, 2022