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.
SUSE Cloud Native Foundations Scholarship Udacity is collaborating with SUSE, a global leader in true open source solutions, to empower developers and
ISC-Track1-Submission The codes and related files to reproduce the results for Image Similarity Challenge Track 1. Required dependencies To begin with
Sparse Structure Learning via Graph Neural Networks for inductive document classification Make graph dataset create co-occurrence graph for datasets.
A PyTorch implementation of unsupervised SimCSE
PyTorch implementation of OpenAI's Finetuned Transformer Language Model This is a PyTorch implementation of the TensorFlow code provided with OpenAI's
Facial Recognition Doorbell This project expands on the person-detecting doorbell system to allow it to identify faces, and announce names accordingly
Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer. ICCV2021. Introduction We proposed a novel model training paradi
Laser device for neutralizing - mosquitoes, weeds and pests (in progress) Here I will post information for creating a laser device. A warning!! How It
bottom-up-attention This code implements a bottom-up attention model, based on multi-gpu training of Faster R-CNN with ResNet-101, using object and at
A curated list of programmatic weak supervision papers and resources
CO-PILOT CO-PILOT: COllaborative Planning and reInforcement Learning On sub-Task curriculum, NeurIPS 2021, Shuang Ao, Tianyi Zhou, Guodong Long, Qingh
Knowledge Informed Machine Learning using a Weibull-based Loss Function Exploring the concept of knowledge-informed machine learning with the use of a
Fuwa HTTP The HTTP client implementation for the fuwa eco-system Example import
fluidnet_cxx: Accelerating Fluid Simulation with Convolutional Neural Networks. A PyTorch/ATen Implementation. This repository is based on the paper,
typesplainer A Python typehint explainer! Available as a cli, as a website, as a vscode extension, as a vim extension Usage First, install the package
Generalized-Shuffled-Linear-Regression Code for the ICCV 2021 paper: Generalized Shuffled Linear Regression. Authors: Feiran Li, Kent Fujiwara, Fumio
Using the provided dataset which includes various book features, in order to predict the price of books, using various proposed methods and models.
PointRend A PyTorch implementation of PointRend: Image Segmentation as Rendering [arxiv] [Official Implementation: Detectron2] This repo for Only Sema
Parallel and High-Fidelity Text-to-Lip Generation This repository is the official PyTorch implementation of our AAAI-2022 paper, in which we propose P
CReST in Tensorflow 2 Code for the paper: "CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning" by Chen Wei, Ki
34 Oct 18, 2022
115 Jan 02, 2023
16 Dec 22, 2022
99 Dec 23, 2022
1.4k Jan 05, 2023
22 Apr 15, 2022
103 Dec 14, 2022
1k Jan 02, 2023
1.3k Jan 09, 2023
118 Jan 02, 2023
1 Feb 18, 2022
43 Dec 14, 2022
2 Feb 16, 2022
50 Jun 07, 2022
79 Dec 01, 2022
7 Oct 26, 2022
1 Jan 13, 2022
336 Dec 26, 2022
77 Dec 21, 2022
75 Nov 01, 2022