482 Open source projects that are alternatives of or similar to Grasp

Awesome machine learning model compression research papers, tools, and learning material.

JAX-based neural network library

🍋Machine Learning library from scratch.🍋

Notes on Deep Reinforcement Learning for Natural Language Processing papers

Finding the genre of a song with Deep Learning

Build conversation Seq2Seq models with TensorFlow

A new approach for the real time 3D semantic segmentation based on feature abstract and deep learning method

Deep Learning tools for brain medical images

Using Tensorflow to classify the NIST Dataset 19 (Handwriting)

A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2017

repo with challenge material for riceteacatpanda (2020)

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

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

HyperPose: A Collection of Real-time Human Pose Estimation

A Tensorflow implementation of the Adaptive Neuro-Based Fuzzy Inference System (ANFIS)

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

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.

Udacity Self-Driving Car Engineer Nanodegree. Project: Build a Traffic Sign Recognition Classifier

MemeGen is a web application where the user gives an image as input and our tool generates a meme at one click for the user.

Pruning and other network surgery for trained TF.Keras models.

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

Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference

PyTorch and Keras model training and layer saturation monitor

GPU accelerated Deep Belief Network

Python package that implements Continuous Time Recurrent Neural Networks (CTRNNs)

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

Keras model convolutional filter pruning package

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

This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.

Distributed Learning by Pair-Wise Averaging

🔮Deep Learning for text made easy with AllenNLP

A curated list of neural network pruning resources.

Implementation of non-linear independent components estimation (NICE) in pytorch

Visualisations for Convolutional Neural Networks in Pytorch

[Tensorflow.js] AdVis: Exploring real-time Adversarial Attacks in the browser with Fast Gradient Sign Method.

YerevaNN blog

Highway networks implemented in PyTorch.

A small Unity AI game built with ML-agents v0.5

This toolbox is support material for the book on CNN (http://www.convolution.network).

18.337 - Parallel Computing and Scientific Machine Learning

A 2D Unity simulation in which cars learn to navigate themselves through different courses. The cars are steered by a feedforward neural network. The weights of the network are trained using a modified genetic algorithm.

Aspect-Based Sentiment Analysis

🎨 Artistic neural style transfer with tweaks (pytorch).

Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge

Train Neuronal networks to automate your home

Denoising Autoencoders for Phenotype Stratification

Daily Dose of Neural Network that Everyone Needs

simple neural network library in ANSI C

A curated list of awesome resources related to capsule networks

A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

Crystal Graph Neural Networks

Descriptive Deep Learning

Official PyTorch implementation of paper "A Hybrid Compact Neural Architecture for Visual Place Recognition" by M. Chancán (RA-L & ICRA 2020) https://doi.org/10.1109/LRA.2020.2967324

reference pytorch code for named entity tagging

Augmenting word embeddings with their surrounding context using bidirectional RNN

Official Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]

TensorHub is a library built on top of TensorFlow 2.0 to provide simple, modular and repeatable abstractions to accelerate deep learning research.