1602 Open source projects that are alternatives of or similar to CS231n

My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition

This library provides a set of basic functions for different type of deep learning (and other) algorithms in C.This deep learning library will be constantly updated

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

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

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

[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings

Code for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.

Keras implementation of Legendre Memory Units

News summarization using sequence to sequence model with attention in TensorFlow.

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

Lookahead optimizer ("Lookahead Optimizer: k steps forward, 1 step back") for tensorflow

A Python package for gender classification.

Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

Multitask Deep Learning for Sentiment Analysis using Character-Level Language Model, Bi-LSTMs for POS Tag, Chunking and Unsupervised Dependency Parsing. Inspired by this great article https://arxiv.org/abs/1611.01587

Some of the ML and DL related reading materials, research papers that I've read

Plain Stock Close-Price Prediction via Graves LSTM RNNs

A bidirectional LSTM with attention for multiclass/multilabel text classification.

Deep learning codes and projects using Python

Tensorflow Implementation of Recurrent Neural Network (Vanilla, LSTM, GRU) for Text Classification

Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Data science teaching materials

NLP Specialization (Natural Language Processing) made by deeplearning.ai

Generative Adversarial Networks in TensorFlow 2.0

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!

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

Application of machine learning to the Coinbase (GDAX) orderbook

Sentiment Analysis on the First Republic Party debate in 2016 based on Python,NLTK and ML.

using rnn (lstm or gru) and ctc to convert line image into text, based on torch7 and warp-ctc

Image Captioning: Implementing the Neural Image Caption Generator with python

videos, lectures, blogs for Deep Learning

Neural machine translator for English2German translation.

PyTorch tutorial for learners

TensorFlow 1.3 experiment with LSTM (and GRU) RNNs for sine prediction

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)

Anomaly detection for temporal data using LSTMs

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.

The Official Deep Learning Framework for Route-based Place Recognition

<머신러닝 교과서 with 파이썬, 사이킷런, 텐서플로>의 코드 저장소

Listing my favorite research papers 📝 from different fields as I read them.

Simple neural networks based only on Numpy

My workshop on machine learning using python language to implement different algorithms

Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?

How to build RNNs and LSTMs from scratch with NumPy.

A curated list of dedicated resources and applications

PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)

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

bitcoin prediction algorithms

This is a repository of my coursera Machine Learning by Standford, Andrew NG course's assignments

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

Using LSTM network for time series forecasting

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

TensorFlow implementation of multi-layer recurrent neural networks for training and sampling from texts

A Natural Language Toolkit for Indian Languages

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

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