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48 search results found

Machine Learning Collection ⭐ 6,173

A resource for learning about Machine learning & Deep Learning

[CVPR2020] Adversarial Latent Autoencoders

Simclr ⭐ 1,745

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

Dropblock ⭐ 408

Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.

Fl Bench ⭐ 316

Benchmark of federated learning. Dedicated to the community. 🤗

Machinelearning Deeplearning Code For My Youtube Channel ⭐ 311

The full collection of all codes for my Youtube Channel segregated as per topic.

Fast Pytorch ⭐ 299

Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes

Sentimentanalysis ⭐ 260

Sentiment analysis neural network trained by fine-tuning BERT, ALBERT, or DistilBERT on the Stanford Sentiment Treebank.

Glcic Pytorch ⭐ 230

A High-Quality PyTorch Implementation of "Globally and Locally Consistent Image Completion".

Gan Vae Pretrained Pytorch ⭐ 148

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

Frontalization ⭐ 139

Pytorch deep learning face frontalization model

Pytorch Multi Class Focal Loss ⭐ 132

An (unofficial) implementation of Focal Loss, as described in the RetinaNet paper, generalized to the multi-class case.

Mlwithpytorch ⭐ 107

Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch

Restoring Extremely Dark Images In Real Time ⭐ 86

The project is the official implementation of our CVPR 2021 paper, "Restoring Extremely Dark Images in Real Time"

Torch Metrics ⭐ 78

Metrics for model evaluation in pytorch

PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and continuous action spaces.

Pytorch Attention Guided Cyclegan ⭐ 57

Pytorch implementation of Unsupervised Attention-guided Image-to-Image Translation.

Ngcf Pytorch ⭐ 57

PyTorch Implementation for Neural Graph Collaborative Filtering

Openpose Pytorch ⭐ 52

🔥 OpenPose api wrapper in PyTorch.

Online Deep Learning: Learning Deep Neural Networks on the Fly / Non-linear Contextual Bandit Algorithm (ONN_THS)

pytorch implementation of paper https://www.frontiersin.org/articles/10.3389/fcomp

Moldqn Pytorch ⭐ 40

A PyTorch Implementation of "Optimization of Molecules via Deep Reinforcement Learning".

Superpiano ⭐ 32

Absolutely amazing SOTA Google Colab (Jupyter) Notebooks for creating/training SOTA Music AI models and for generating music with Transformer technology (Google XLNet/Transformer-XL)

Bias Loss Skipblocknet ⭐ 30

[ICCV 2021]Code for the the bias loss and evaluation of SkipblockNet model on ImageNet validation set

Recsystem Pytorch ⭐ 27

推荐系统论文算法实现，包括序列推荐，多任务学习，元学习等。 Recommendation system papers implementations, including sequence recommendation, multi-task learning, meta-learning, etc.

Attention Sampling Pytorch ⭐ 24

This is a PyTorch implementation of the paper: "Processing Megapixel Images with Deep Attention-Sampling Models".

Dgmr Pytorch ⭐ 18

An implementation of Deep Generative Model of Radars from DeepMind in PyTorch

Relation Network Pytorch ⭐ 17

Implementation of Relation Network and Recurrent Relational Network using PyTorch v1.3. Original papers: (RN) https://arxiv.org/abs/1706.01427 (RRN): https://arxiv.org/abs/1711.08028

PyTorch implementation of the MRNet paper, developed for the MRNet Competition hosted by the Stanford ML Group

Geometric Dynamic Variational Autoencoders (GD-VAEs) for learning embedding maps for nonlinear dynamics into general latent spaces. This includes methods for standard latent spaces or manifold latent spaces with specified geometry and topology. The manifold latent spaces can be based on analytic expressions or general point cloud representations.

Hands On Nlp With Pytorch ⭐ 15

Collection of Notebooks for Natural Language Processing with PyTorch

Deep Blueberry ⭐ 14

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

Pytorch Fpn ⭐ 14

PyTorch implementation of some FPN-based semantic segmentation architectures: vanilla FPN, Panoptic FPN, PANet FPN; with ResNet and EfficientNet backbones.

Diffusion Ddpm ⭐ 14

Implementation of "Denoising Diffusion Probabilistic Models", Ho et al., 2020

Shufflefacenet_pytorch ⭐ 13

A PyTorch Implementation of ShuffleFaceNet.

Ai Awesome Project Template ⭐ 12

🤖 Project template for your next awesome AI project. 🦾

Timediffusion ⭐ 10

Unified Framework for Multiple Time Series Tasks

Rlin200lines ⭐ 9

PyTorch implementations of Reinforcement Learning algorithms in less than 200 lines

Recommended system(2018-2019); CTR prediction;Recommended-System-PyTorch===>> WIP

Gan Pytorch ⭐ 8

Implementation of the paper "Generative Adversarial Networks — Goodfellow et al. (2014)" in Pytorch

Machine Learning Collection ⭐ 7

Repo for Implementing Research Papers & Projects related to Machine Learning

Fast Image Gans ⭐ 7

Using Deep Learning to create fake images of games using PyTorch

Multi-Variate Temporal GAN for Large Scale Video Generation

3dmmasstn Pytorch ⭐ 6

Unofficial PyTorch implementation for incorporating a 3D Morphable Model (3DMM) into a Spatial Transformer Network (STN)

PyTorch implementation of BYOL: a fantastically simple method for self-supervised image representation learning with SOTA performance.

Shapley_valuation ⭐ 6

PyTorch reimplementation of computing Shapley values via Truncated Monte Carlo sampling from "What is your data worth? Equitable Valuation of Data" by Amirata Ghorbani and James Zou [ICML 2019]

Official PyTorch implementation for "PROPEL: Probabilistic Parametric Regression Loss for Convolutional Neural Networks"

Deep Learning Cnn ⭐ 5

NN and CNN implementation from scratch in PyTorch with data loading, training, and evaluation phase on CIFAR 100 image dataset

Deep Learning Paper Implementation ⭐ 5

From Scratch Implementation of some popular Deep Learning Papers with PyTorch and Tensorflow

Pytorch_vae Gmm ⭐ 5

Implementation of a model to make VAE and GMM train from each other

Prototypical Networks ⭐ 5

Prototypical Networks for the task of few-shot image classification on Omniglot and mini-ImageNet.

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