techthiyanes Goto Github PK
Name: Thiya
Type: User
Bio: Data Scientist
Location: Bengaluru
Thiya's Projects
pytorch-deep-learning-1
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
pytorch-forecasting
Time series forecasting with PyTorch
pytorch-gan
PyTorch implementations of Generative Adversarial Networks.
pytorch-generative-model-collections
Collection of generative models in Pytorch version.
pytorch-grad-cam
Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM
pytorch-handbook
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
pytorch-ie
PyTorch-IE: State-of-the-art Information Extraction in PyTorch
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
pytorch-in-real-life
Contains real-life example that can be solved by pytorch
pytorch-insightface
Pretrained insightface models ported to pytorch
pytorch-lightning
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
pytorch-lightning-vae
VAE for color images
pytorch-liteflownet
a reimplementation of LiteFlowNet in PyTorch that matches the official Caffe version
pytorch-nlp
Basic Utilities for PyTorch Natural Language Processing (NLP)
pytorch-nlp-multitask
A simple project training 3 separate NLP tasks simultaneously using Multitask-Learning
pytorch-nlp-notebooks
Learn how to use PyTorch to solve some common NLP problems with deep learning.
pytorch-optimizer
torch-optimizer -- collection of optimizers for Pytorch
pytorch-pfn-extras
Supplementary components to accelerate research and development in PyTorch
pytorch-pretrained-biggan
🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.
pytorch-quantization-workshop
Code for a workshop hosted at the MLOps World Summit '22
pytorch-realm-orqa
PyTorch reimplementation of REALM and ORQA
pytorch-sentiment-analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
pytorch-softdtw-cuda
Fast CUDA implementation of (differentiable) soft dynamic time warping for PyTorch using Numba
pytorch-struct
Fast, general, and tested differentiable structured prediction in PyTorch
pytorch-studiogan
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
pytorch-transformers-classification
Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.
pytorch-tutorial
Build your neural network easy and fast, 莫烦Python中文教学
pytorch-tutorial-1
PyTorch Tutorial for Deep Learning Researchers
pytorch-unet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
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