361 Open source projects that are alternatives of or similar to bruno

Self driving car in GTAV with Deep Learning

PyTorch implementation of normalizing flow models

Code and data of ACL 2021 paper "Few-NERD: A Few-shot Named Entity Recognition Dataset"

PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"

awesome few shot / meta learning papers

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

This repository contains the code for a conference paper "Predicting the football match winner using LSTM model of Recurrent Neural Networks" that we wrote

A didactic Gaussian process package for researchers in Jax.

A Keras multi-input multi-output LSTM-based RNN for object trajectory forecasting

Official code for UnICORNN (ICML 2021)

Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in full in this ICML 2021 paper: https://arxiv.org/abs/2102.08622.

Alternative approach for Adaptive Computation Time in TensorFlow

Implementation of One Shot Learning using Convolutional Siamese Networks on Omniglot Dataset

PyTorch code for CVIU paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"

Combining tree-boosting with Gaussian process and mixed effects models

"Learning Machine Learning" Course, Bogotá, Colombia 2019 #LML2019

Sequence Labeling in Tensorflow

Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX

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

Learning To Compare For Text , Few shot learning in text classification

Human activity recognition using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING).

Codes and Templates from the SuperDataScience Course

Ordered Neurons LSTM

A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.

(ECCV 2020) PyTorch implementation of paper "Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild"

One-Shot Recognition of Manufacturing Defects in Steel Surfaces

PyTorch implementation of 'Squeeze and Excite' Guided Few Shot Segmentation of Volumetric Scans

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks

An Algorithm to Quantify Robustness of Recurrent Neural Networks

Using LSTM network for time series forecasting

Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022), and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (Neural Networks 2022 - in submission)

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

RNN benchmarks of pytorch, tensorflow and theano

bitcoin prediction algorithms

Dialogue Knowledge Transfer Networks (DiKTNet)

一些数据集处理相关的 API

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

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

[CVPR 2021] Few-shot 3D Point Cloud Semantic Segmentation

Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io

Chainer implementation of Deepmind's Visual Attention Model paper

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

Differentiable Gaussian Process implementation for PyTorch

ACL 2019 paper:Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification

A library for doing Bayesian Optimization using Gaussian Processes (blackbox optimizer) in Go/Golang.

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

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

Laplacian Regularized Few Shot Learning

A Neural Network based Chatbot

finance

Few-shot Keyword Spotting in Any Language and Multilingual Spoken Word Corpus

A robot learning from demonstration framework that trains a recurrent neural network for autonomous task execution

Probabilistic Dialogue Act Classification for the Switchboard Corpus using an LSTM model

A non-official 100% PyTorch implementation of META-DATASET benchmark for few-shot classification

Parallel Hyperparameter Tuning in Python

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

The Trendiness of Trends

Code for Reservoir computing (Echo state network)

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

Code of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients