Aim of this Repository: From Perceptron model to Deep Neural Network (from scratch) in Python.
** Currently working on a basic Neural network model.
Reference for the Perceptron model: https://www.youtube.com/watch?v=ntKn5TPHHAk&list=PLRqwX-V7Uu6aCibgK1PTWWu9by6XFdCfh&index=3&t=217s
CL-Gym: Full-Featured PyTorch Library for Continual Learning CL-Gym is a small yet very flexible library for continual learning research and developme
Trajectory Transformer Code release for Offline Reinforcement Learning as One Big Sequence Modeling Problem. Installation All python dependencies are
The Dynamic Neural Network Toolkit General Installation C++ Python Getting Started Citing Releases and Contributing General DyNet is a neural network
SSH: A Self-Supervised Framework for Image Harmonization (ICCV 2021) code for SSH Representative Examples Main Pipeline RealHM DataSet Google Drive Pr
animeface deep models for anime images. Datasets anime-face-dataset Anime faces collected from Getchu.com. Based on Mckinsey666's dataset. 63.6K image
ccks2021-track3 CCKS2021中文NLP地址相关性任务-赛道三-冠军方案 团队：我的加菲鱼- wodejiafeiyu 初赛第二/复赛第一/决赛第一 前言 19年开始，陆陆续续参加了一些比赛，拿到过一些top，比较懒一直都没分享过，这次比较幸运又拿了top1，打算分享下 分类的任务
Heterogeneous-Deep-Graph-Infomax Parameter Setting: HDGI-A: Node-level dimension: 16 Attention head: 4 Semantic-level attention vector: 8 learning rat
Learning Architectures for Binary Networks An Pytorch Implementation of the paper Learning Architectures for Binary Networks (BNAS) (ECCV 2020) If you
PrimitiveNet Source code for the paper: Jingwei Huang, Yanfeng Zhang, Mingwei Sun. [PrimitiveNet: Primitive Instance Segmentation with Local Primitive
Energy-Estimator-for-Eyeriss-like-Architecture- An energy estimator for eyeriss-like DNN hardware accelerator This is an energy estimator for eyeriss-
CompilerGym is a library of easy to use and performant reinforcement learning environments for compiler tasks
Official pytorch implemenation of C3-GAN Contrastive Fine-grained Class Clustering via Generative Adversarial Networks [Paper] Authors: Yunji Kim, Jun
Generating High-Quality Explanations for Navigation in Partially-Revealed Environments This work presents an approach to explainable navigation under
Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth [Paper] Downloads [Downloads] Trained ckpt files for NYU Depth V2 and
The dynamics of representation learning in shallow, non-linear autoencoders The package is written in python and uses the pytorch implementation to ML
Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective Zhengzhuo Xu, Zenghao Chai, Chun Yuan This is the PyTorch implement
tight-binder Introduction General purpose tight-binding code for electronic structure calculations based on the Slater-Koster approximation. The code
Label-Free Model Evaluation with Semi-Structured Dataset Representations Prerequisites This code uses the following libraries Python 3.7 NumPy PyTorch
Improving Compound Activity Classification via Deep Transfer and Representation Learning This repository is the official implementation of Improving C
xTune Code for ACL2021 paper Consistency Regularization for Cross-Lingual Fine-Tuning. Environment DockerFile: dancingsoul/pytorch:xTune Install the f
36 Dec 25, 2022
266 Dec 27, 2022
3.3k Jan 06, 2023
86 Dec 02, 2022
61 Dec 25, 2022
131 Dec 31, 2022
52 Oct 31, 2022
25 Jun 09, 2022
47 Dec 06, 2022
2 Mar 26, 2022
721 Jan 03, 2023
114 Dec 02, 2022
1 Oct 28, 2022
98 Jan 01, 2023
4 Jun 08, 2022
16 Dec 15, 2022
9 Dec 15, 2022
8 Oct 06, 2022
2 Nov 24, 2021
42 Dec 09, 2022