305 Open source projects that are alternatives of or similar to ATA-GAN

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Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

resource collection for transfer learning!

Implementation of a Neural Network that can detect whether a video is in-game or not

Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]

Video Representation Learning by Recognizing Temporal Transformations. In ECCV, 2020.

Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep learning and deep transfer learning to learn and solve popular tasks using NLP including NER, Classification, Recommendation \ Information Retrieval, Summarization, Classification, Language Translation, Q&A and T…

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The aim of this repository is to show a baseline model for text classification by implementing a LSTM-based model coded in PyTorch. In order to provide a better understanding of the model, it will be used a Tweets dataset provided by Kaggle.

No description or website provided.

A collection of projects which explore image classification on chest x-ray images (via the NIH dataset)

Notebooks for learning about the layers of a convolutional neural network.

Face Recognition with Transfer Learning

Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"

Pytorch implementation of DeepDream on VGG16 Network

[ICCV 2019 Oral] TA3N: https://github.com/cmhungsteve/TA3N (Most updated repo)

A collection of AWESOME things about domian adaptation

A guide to transfer learning with inception-resnet-v2.

Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes

Implementation of ULMFit algorithm for text classification via transfer learning

Class-Weighted Convolutional Features for Image Retrieval (BMVC 2017)

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!

Code for the paper: "SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification"

Repositório dos exemplos e desafios utilizados na disciplina de Visão Computacional do curso de MBA Machine Learning da FIAP

用例子学习PyTorch1.0（Learning PyTorch with Examples 中文翻译与学习）

Unseen Object Segmentation in Videos via Transferable Representations, ACCV 2018 (oral)

Customisable Unified Physical Simulations (CUPS) for Reinforcement Learning. Experiments run on the ai2thor environment (http://ai2thor.allenai.org/) e.g. using A3C, RainbowDQN and A3C_GA (Gated Attention multi-modal fusion) for Task-Oriented Language Grounding (tasks specified by natural language instructions) e.g. "Pick up the Cup or else"

Address book for computer vision models.

A multi agent path planning solution under a warehouse scenario using Q learning and transfer learning.🤖️

🤖 Cozmo the Robot recognizes objects with TensorFlow

Real-time AI-powered translation of American sign language to text

Towards deepfake detection that actually works

A project on improving Neural Networks performance by using Genetic Algorithms.

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Implementation of Conditional Generative Adversarial Networks in PyTorch

Python toolbox for transfer learning.

code for our ECCV 2020 paper "A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation"

A lightweight library designed to accelerate the process of training PyTorch models by providing a minimal, but extensible training loop which is flexible enough to handle the majority of use cases, and capable of utilizing different hardware options with no code changes required. Docs: https://pytorch-accelerated.readthedocs.io/en/latest/

Numerical Computation of Receptive Field in Pytorch

( CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation

Application of deep learning on Satellite Imagery of Sentinel-2 satellite that move around the earth from June, 2015. This image patches can be trained and classified using transfer learning techniques.

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This repository contains code for the O'Reilly Live Online Training for BERT

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✂️ Automated high-quality background removal framework for an image using neural networks. ✂️

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Protein Language Model