874 Open source projects that are alternatives of or similar to Flashtorch

🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code

Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

🟣 Object detection of abstract shapes with neural networks

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

An automatic ML model optimization tool.

Image Captioning using InceptionV3 and beam search

Amacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

3.41% and 17.11% error on CIFAR-10 and CIFAR-100

Autodifferentiation package in Rust.

TensorFlow implementation of the Value Iteration Networks (NIPS '16) paper

Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras

Chinese-Text-Classification，Tensorflow CNN（卷积神经网络）实现的中文文本分类。QQ群：522785813，微信群二维码：http://www.tensorflownews.com/

Code repository for Frontiers article 'Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images - A Comparison of CycleGAN and UNIT'

Sequence-to-Sequence Framework in PyTorch

Avalanche: a End-to-End Library for Continual Learning.

Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs

Frame-Recurrent Video Super-Resolution (official repository)

A wrapper around tensor2tensor to flexibly train, interact, and generate data for neural chatbots.

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

A deep learning library to provide algs in pure Numpy or Tensorflow.

KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.

Paper reading notes on Deep Learning and Machine Learning

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

licence plate detection and recognition

A powerful and intuitive WYSIWYG interface that allows anyone to create Machine Learning models!

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

👷‍♂️ A simple package for extracting useful features from character objects 👷‍♀️

A curated list of awesome Distributed Deep Learning resources.

Julia port of the Python autograd package.

Convolutional Neural Network for Human Activity Recognition in Tensorflow

machine learning and deep learning tutorials, articles and other resources

SharpNEAT - Evolution of Neural Networks. A C# .NET Framework.

Datasets, tools and more from Darwinex Labs - Prop Investing Arm & Quant Team @ Darwinex

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

Lacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.

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

A High-Quality PyTorch Implementation of "Globally and Locally Consistent Image Completion".

Repo for the Deep Reinforcement Learning Nanodegree program

🐰 Python lib for remo - the app for annotations and images management in Computer Vision

Relax! Flux is the ML library that doesn't make you tensor

Python Adaptive Signal Processing

Run Keras models in the browser, with GPU support using WebGL

Pytorch implementation of Block Neural Autoregressive Flow

Heterogeneous Run Time version of Caffe. Added heterogeneous capabilities to the Caffe, uses heterogeneous computing infrastructure framework to speed up Deep Learning on Arm-based heterogeneous embedded platform. It also retains all the features of the original Caffe architecture which users deploy their applications seamlessly.

Deep Learning Specialization by Andrew Ng on Coursera.

Deep learning library for solving differential equations and more

Learning a Single Convolutional Super-Resolution Network for Multiple Degradations (CVPR, 2018) (Matlab)

Keras# initiated as an effort to port the Keras deep learning library to C#, supporting both TensorFlow and CNTK

A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2021 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

Unity Machine Learning Agents Toolkit

Survival analysis with PyTorch

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

The SpeechBrain project aims to build a novel speech toolkit fully based on PyTorch. With SpeechBrain users can easily create speech processing systems, ranging from speech recognition (both HMM/DNN and end-to-end), speaker recognition, speech enhancement, speech separation, multi-microphone speech processing, and many others.

Code examples for new APIs of iOS 10.

A Keras CTC implementation of Baidu's DeepSpeech for model experimentation

Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction

Learning to Learn in TensorFlow

Mobile AI Compute Engine Model Zoo