This project provides the proof of the uniqueness of the equilibrium and the global asymptotic stability.
There is also provided a numerical solution of delayed cellular neural networks. Please, make sure to install ddeint package with pip install ddeint (in Mac or Linux pip3 install ddeint)
You can get plot running python plot.py. (in Mac or Linux python3 plot.py)
Reinforcement-trading This project uses Reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can
heat-transfer Heat transfer problems solved using python isolation-convection.py compares the temperature distribution on the problem as shown in the
You Only Look One-level Feature (YOLOF), CVPR2021 A simple, fast, and efficient object detector without FPN. This repo provides an implementation for
Self-Normalizing Networks Tutorials and implementations for "Self-normalizing networks"(SNNs) as suggested by Klambauer et al. (arXiv pre-print). Vers
[ECCV20] Content-Consistent Matching for Domain Adaptive Semantic Segmentation This is a PyTorch implementation of CCM. News: GTA-4K list is available
"# SUPERVISED-CONTRASTIVE-LEARNING-FOR-PRE-TRAINED-LANGUAGE-MODEL-FINE-TUNING" i
Reproducible Experiment Platform (REP) REP is ipython-based environment for conducting data-driven research in a consistent and reproducible way. Main
SpConv: Spatially Sparse Convolution Library PyPI Install Downloads CPU (Linux Only) pip install spconv CUDA 10.2 pip install spconv-cu102 CUDA 11.1 p
Deploying PyTorch Model to Production with FastAPI in CUDA-supported Docker A example FastAPI PyTorch Model deploy with nvidia/cuda base docker. Model
Locus This repository is an open-source implementation of the ICRA 2021 paper: Locus: LiDAR-based Place Recognition using Spatiotemporal Higher-Order
Simple_Linear_2nd_ODE_Solver_GUI Description It is a 2nd constant coefficient li
TL;DR Ignite is a high-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently. Click on the image to
Active Learning for Deep Object Detection via Probabilistic Modeling This repository is the official PyTorch implementation of Active Learning for Dee
E2VID_ROS Introduce We extend E2VID to a real-time system. Because Python ROS ca
Heart Failure Predictor About A Web UI deployed Dense Neural Network Model Made using Tensorflow that predicts whether the patient is healthy or has c
A pytorch easy re-implement of "YOLOX: Exceeding YOLO Series in 2021" 1. Notes This is a pytorch easy re-implement of "YOLOX: Exceeding YOLO Series in
Beyond Self-attention: External Attention using Two Linear Layers for Visual Tasks paper : https://arxiv.org/abs/2105.02358 Jittor code will come soon
TalkNet 2 [WIP] TalkNet 2: Non-Autoregressive Depth-Wise Separable Convolutional Model for Speech Synthesis with Explicit Pitch and Duration Predictio
MEAL-V2 This is the official pytorch implementation of our paper: "MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tric
TensorGraphicalModels TensorGraphicalModels.jl is a suite of Julia tools for estimating high-dimensional multiway (tensor-variate) covariance and inve
1.4k Dec 22, 2022
2 Nov 14, 2021
789 Jan 09, 2023
1.6k Jan 07, 2023
88 Aug 25, 2022
28 Dec 12, 2022
662 Nov 20, 2022
1.2k Jan 07, 2023
68 Jan 04, 2023
96 Dec 15, 2022
4 Feb 05, 2022
4.2k Jan 01, 2023
130 Jan 06, 2023
7 Apr 17, 2022
0 Jan 09, 2022
91 Dec 26, 2022
357 Dec 11, 2022
69 Dec 17, 2022
653 Dec 19, 2022
3 Sep 23, 2022