373 Open source projects that are alternatives of or similar to rnn_darts_fastai

Differentiable architecture search for convolutional and recurrent networks

Kuzushiji Recognition Kaggle 2019. Build a DL model to transcribe ancient Kuzushiji into contemporary Japanese characters. Opening the door to a thousand years of Japanese culture.

An implementation of transformer-based language model for sentence rewriting tasks such as summarization, simplification, and grammatical error correction.

Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)

finance

Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".

🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

Neural Networks for Protein Sequence Alignment

This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Spring 2020).

Advanced file format fuzzer based-on deep neural language models.

CM-NAS: Cross-Modality Neural Architecture Search for Visible-Infrared Person Re-Identification (ICCV2021)

bitcoin prediction algorithms

(ICCV 2021) BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search

This repo is about NAS

A toolkit for pre-processing large source code corpora

Using LSTM network for time series forecasting

Code accompanying our ECCV-2020 paper on 3D Neural Listeners.

Network Intrusion Detection System using Deep Learning Techniques

Sequence Segmentation using Joint RNN and Structured Prediction Models (ICASSP 2017)

Parallel random matrix tools and complexity for deep learning

Learnable Embedding Space for Efficient Neural Architecture Compression

Fast.AI course complete docker container for Paperspace and Gradient

TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture Search (ECCV2020)

A fastai/PyTorch package for unpaired image-to-image translation.

Moore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks

Simple (but often Strong) Baselines for POMDPs in PyTorch - ICML 2022

PC-DARTS (PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search, published in ICLR 2020) implemented in Tensorflow 2.0+. This is an unofficial implementation.

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

Tensorflow implementation of "Tracking the World State with Recurrent Entity Networks" [https://arxiv.org/abs/1612.03969] by Henaff, Weston, Szlam, Bordes, and LeCun.

[ICML2020] "AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks" by Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang

Assignmends done for Udacity's Deep Learning MOOC with Vincent Vanhoucke

Code for Reservoir computing (Echo state network)

Sequence analyzing using Recurrent Neural Networks (RNN) based on Keras

🦅 Deep Learning awesome cheatsheet

Deploy your Flask web app classifier on Heroku which is written using fastai library.

Using a recurrent neural network in TensorFlow to predict national origin by last name.

Code and Data to accompany "Dilated Convolutions for Modeling Long-Distance Genomic Dependencies", presented at the ICML 2017 Workshop on Computational Biology

Source code for "Transferring the Style of Homophonic Music Using Recurrent Neural Networks and Autoregressive Model"

Gathers Tensorflow deep learning models.

H. Zhang, Q. Yao, M. Yang, Y. Xu, X. Bai. AutoSTR: Efficient Backbone Search for Scene Text Recognition. European Conference on Computer Vision (ECCV). 2020.

NMA deep learning course

Ordered Neurons LSTM

digging the endless treasures of fastai

Use Unity to generate synthetic images for deep learning image segmentation in PyTorch and fastai

Speaker Diarization is the problem of separating speakers in an audio. There could be any number of speakers and final result should state when speaker starts and ends. In this project, we analyze given audio file with 2 channels and 2 speakers (on separate channels).

FasterAI: A repository for making smaller and faster models with the FastAI library.

a deep recurrent model for exchangeable data

Independently Recurrent Neural Networks (IndRNN) implemented in pytorch.

👄 The most accurate natural language detection library for Go, suitable for long and short text alike

Some notes, tutorials, and some experimentation with the fast.ai library (https://github.com/fastai/fastai)

my own deep learning mastery roadmap

sequence tagging for NER for ULMFiT

Colab Compatible FastAI notebooks for NLP and Computer Vision Datasets

Plant Disease Detector Web Application

A variational implementation of classical and quantum annealing using recurrent neural networks for the purpose of solving optimization problems.

Genre Classification using Convolutional Neural Networks

NeuroAI-UW seminar, a regular weekly seminar for the UW community, organized by NeuroAI Shlizerman Lab.

My bachelor's thesis—analyzing the application of LSTM-based RNNs on financial markets. 🤓

Malicious URL detector using keras recurrent networks and scikit-learn classifiers