Deep Learning for humans

12306智能刷票，订票

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Face recognition using Tensorflow

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Generate 3D objects conditioned on text or images

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

《Pytorch模型训练实用教程》中配套代码

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

Efficient 3D human pose estimation in video using 2D keypoint trajectories

Learning to Rank in TensorFlow

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/

Classification with PyTorch.

Complete YOLO v3 TensorFlow implementation. Support training on your own dataset.

CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).

Open source person re-identification library in python

🌊HMTL: Hierarchical Multi-Task Learning - A State-of-the-Art neural network model for several NLP tasks based on PyTorch and AllenNLP

Small scale machine learning projects to understand the core concepts . Give a Star 🌟If it helps you. BONUS: Interview Bank coming up..!

Implementation of triplet loss in TensorFlow

Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch

Zero-Shot Learning with GCN (CVPR 2018)

Deep Metric Learning

PyTorch Implementations for DeeplabV3 and PSPNet

[CVPR 2024] Text-to-3D using Gaussian Splatting

Implementation of papers for text classification task on DBpedia

Code for replication of the paper "The relativistic discriminator: a key element missing from standard GAN"

PyTorch deep learning models for document classification

Code to accompany ICML 2018 paper