amirstudy Goto Github PK

pix2pixhd

Synthesizing and manipulating 2048x1024 images with conditional GANs

pixellib

Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/

plmpapers

Must-read Papers on pre-trained language models.

poetry-gan

pokedex-demo

Rasa Demo for a digital assistant for pokemon

portrait-segmentation

Portrait segmentation with mobile-unet using keras

pose-animator

posos-challenge

code for the challenge

practical-deep-learning-for-coders-2.0

My version of fastai's Practical Deep Learning for Coders for the fastai 2.0 library, with notebooks that will run in google Colab

presumm

code for EMNLP 2019 paper Text Summarization with Pretrained Encoders

production-level-deep-learning

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

progressive_growing_of_gans

Progressive Growing of GANs for Improved Quality, Stability, and Variation

protein_sequence_classification

A case study on Pfam dataset to classify protein families.

psgan

Periodic Spatial Generative Adversarial Networks

psgan-1

PyTorch code for "PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer" (CVPR 2020 Oral)

pulse

PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models

pyboy

Game Boy emulator written in Python

pycaret

An open source, low-code machine learning library in Python

python-machine-learning-book-3rd-edition

The "Python Machine Learning (3nd edition)" book code repository

python-ucwa-bot

Skype for Business Response Bot

python_autocomplete

A simple neural network for python autocompletion

python_autocomplete-1

Use Transformers and LSTMs to learn Python source code

pytorch-optimizer

torch-optimizer -- collection of optimizers for Pytorch

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-vae

A Collection of Variational Autoencoders (VAE) in PyTorch.

pytorch-yolov3

Minimal PyTorch implementation of YOLOv3

pytorch3d

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

pytorch_notebooks

🔥A collection of PyTorch notebooks for learning and practicing deep learning

qld-ai-nlp-dev

Slides, code and a down-sampled dataset from the QLD AI NLP fundamentals workshop (21.11.19)

quantum

Hybrid Quantum-Classical Machine Learning in TensorFlow