2322 Open source projects that are alternatives of or similar to Numpy Ml

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

A Tensorfflow implementation of Attend, Infer, Repeat

Seq2Seq, Bert, Transformer, WaveNet for time series prediction.

nlp lecture-notes and source code

Fast and Easy Infinite Neural Networks in Python

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"

A collection of Bayesian data analysis recipes using PyMC3

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

GPstuff - Gaussian process models for Bayesian analysis

🙄 Difficult algorithm, Simple code.

Collection of generative models in Tensorflow

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

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

Fast vectorization, topic modeling, distances and GloVe word embeddings in R.

TensorFlow and Deep Learning Tutorials

Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.

Bangla Machine Translator

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

This contains a number of IP[y]: Notebooks that hopefully give a light to areas of bayesian machine learning.

Code for "MojiTalk: Generating Emotional Responses at Scale" https://arxiv.org/abs/1711.04090

Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971

📚 Text classification library with Keras

Sorting numbers with pointer networks

Sarcasm detection on tweets using neural network

Repo for the Deep Reinforcement Learning Nanodegree program

Keras tutorial for beginners (using TF backend)

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

Implementation of handwriting generation with use of recurrent neural networks in tensorflow. Based on Alex Graves paper (https://arxiv.org/abs/1308.0850).

A neural network for end-to-end speech denoising

Monthly Series - Top 10 Machine Learning Articles

Deep Reinforcement Learning for Keras.

Multiple implementations for abstractive text summurization , using google colab

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

でぃーぷらーにんぐを無限にやってディープラーニングでDeepLearningするための実装CheatSheet

Resources to learn more about Machine Learning and Artificial Intelligence

Implementation of papers for text classification task on DBpedia

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

Advanced Deep Learning with Keras, published by Packt

All about Neural Networks!

How to use TensorLayer

Reproducing MuJoCo benchmarks in a modern, commercial game /physics engine (Unity + PhysX).

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

Augmenting word embeddings with their surrounding context using bidirectional RNN

Deep Learning over PyTorch

R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"

Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood

A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.

Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.

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

Pharmaceutical Modeling and Simulation for Nonlinear Mixed Effects (NLME), Quantiative Systems Pharmacology (QsP), Physiologically-Based Pharmacokinetics (PBPK) models mixed with machine learning

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

document classification using LSTM + self attention

Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0.

CRNN with attention to do OCR,add Chinese recognition

Safe Bayesian Optimization