187 Open source projects that are alternatives of or similar to Pytorch Playground

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

🇰🇷파이토치에서 제공하는 튜토리얼의 한국어 번역을 위한 저장소입니다. (Translate PyTorch tutorials in Korean🇰🇷)

A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

We pit Keras and PyTorch against each other, showing their strengths and weaknesses in action. We present a real problem, a matter of life-and-death: distinguishing Aliens from Predators!

PyTorch1.0 深度学习：60分钟入门与实战（Deep Learning with PyTorch: A 60 Minute Blitz 中文翻译与学习）

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

A community run, 5-day PyTorch Deep Learning Bootcamp

Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]

🔥机器学习/深度学习/Python/算法面试/自然语言处理教程/剑指offer/machine learning/deeplearning/Python/Algorithm interview/NLP Tutorial

In-depth tutorials for implementing deep learning models on your own with PyTorch.

Awesome-pytorch-list 翻译工作进行中......

Tel-Aviv Deep Learning Boot-camp: 12 Applied Deep Learning Labs

PyTorch tutorial for learners

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

Fast inference engine for OpenNMT models

Tutorial for End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF

PyTorch tutorials A to Z

PyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.

Powerful, automated analysis and design of quantum microwave chips & devices [Energy-Participation Ratio and more]

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

Awesome machine learning model compression research papers, tools, and learning material.

A unified ensemble framework for Pytorch to improve the performance and robustness of your deep learning model

[Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch

My Attempt(s) In The World Of ML/DL....

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info

A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"

Visual Attribute Transfer through Deep Image Analogy in PyTorch!

Pytorch deep learning face frontalization model

Quantization of Convolutional Neural networks.

Reducing the size of convolutional neural networks

Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)

A curated list of awesome edge machine learning resources, including research papers, inference engines, challenges, books, meetups and others.

Dice.com repo to accompany the dice.com 'Vectors in Search' talk by Simon Hughes, from the Activate 2018 search conference, and the 'Searching with Vectors' talk from Haystack 2019 (US). Builds upon my conceptual search and semantic search work from 2015

FrostNet: Towards Quantization-Aware Network Architecture Search

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

Voice Conversion using Cycle GAN's For Non-Parallel Data

Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow

PyTorch深度学习快速入门教程（绝对通俗易懂！）

验证码识别

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.

Important paper implementations for Question Answering using PyTorch

pytorch implementation of "Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks"

PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.

Getting started with AllenNLP and PyTorch by training a tweet classifier

tuyển chọn các tài liệu về công nghệ bằng tiếng Việt

a series of tutorials on sequence to sequence learning, implemented with PyTorch.

reference pytorch code for named entity tagging

SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

PyTorch Model Compression

Collections of model quantization algorithms

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

The Continuous Bag-of-Words model (CBOW) is frequently used in NLP deep learning. It's a model that tries to predict words given the context of a few words before and a few words after the target word.

Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning

[CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework

An Open Source Deep Learning Inference Engine Based on FPGA