452 Open source projects that are alternatives of or similar to Sense

Repo for the Deep Reinforcement Learning Nanodegree program

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

PyTorch Implementation for Deep Metric Learning Pipelines

Implementation of Apple's Learning from Simulated and Unsupervised Images through Adversarial Training

📄 A PyTorch implementation of Paragraph Vectors (doc2vec).

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

an Open Course Platform for Stanford CS224n (2020 Winter)

Universal neural differential equations with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods

Brevitas: quantization-aware training in PyTorch

Deep learning library for solving differential equations and more

Experimental keras implementation of novel neural network structures

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Lightweight library to build and train neural networks in Theano

Deep Learning Specialization by Andrew Ng on Coursera.

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!

💫 Industrial-strength Natural Language Processing (NLP) in Python

A project for processing neural networks and rendering to gain insights on the architecture and parameters of a model through a decluttered representation.

Computations and statistics on manifolds with geometric structures.

How to use TensorLayer

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

Image augmentation library in Python for machine learning.

AI for everyone! 🎉 Neural networks, tools and a library we use in Supervisely

Temporal Segments LSTM and Temporal-Inception for Activity Recognition

DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

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

Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet

This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in …

An open-source tool for sequence learning in NLP built on TensorFlow.

DN2A - Digital Neural Networks Architecture

A higher-level Neural Network library for microcontrollers.

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

sktime companion package for deep learning based on TensorFlow

PyTorch Tutorial for Deep Learning Researchers

Purely functional artificial neural network library implemented in Haskell.

A collection of Bayesian data analysis recipes using PyMC3

Contains my explorations of TensorFlow 2.x

An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.

Keras tutorial for beginners (using TF backend)

Monthly Series - Top 10 Machine Learning Articles

Run TensorFlow models in C++ without installation and without Bazel

PyTorch implementations of algorithms for density estimation

Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

Lab Materials for MIT 6.S191: Introduction to Deep Learning

Tensorflow implementation of CycleGAN

Ruby library for interfacing with FANN (Fast Artificial Neural Network)

PyTorch implementation of "Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning"

Message Passing Neural Networks for Molecule Property Prediction

Plain python implementations of basic machine learning algorithms

Learning to Learn in TensorFlow

Mobile AI Compute Engine Model Zoo

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

由淺入深的深度學習資源 Collection of deep learning materials for everyone

A neural network for end-to-end speech denoising

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

darknet neural network addon for openFrameworks

A TensorBoard plugin for visualizing arbitrary tensors in a video as your network trains.

A simple probabilistic programming language.