587 Open source projects that are alternatives of or similar to Freezeout

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

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

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

DeepFaceLab is the leading software for creating deepfakes.

Sarcasm detection on tweets using neural network

Support content for my blog

Keras code and weights files for the VGG16-places365 and VGG16-hybrid1365 CNNs for scene classification

A PyTorch implementation of DenseNet.

An Echo State Network module for PyTorch.

Code and other material for the book "Deep Learning and the Game of Go"

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.

CAI NEURAL API - Pascal based neural network API optimized for AVX, AVX2 and AVX512 instruction sets plus OpenCL capable devices including AMD, Intel and NVIDIA.

A flexible framework of neural networks for deep learning

Code for reproducing Flow ++ experiments

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

Face Attribute Prediction on CelebA benchmark with PyTorch Implementation

🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained

A single / multi layer / recurrent neural network written in Golang.

A Python library for creating and simulating large-scale brain models

A list of papers and other resources on deep learning with anime style images.

PyTorch implementation of CNNs for CIFAR benchmark

PyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.

Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle over 90% of deep learning projects in PyTorch.

An Elegant Neural Network User Interface to build drag-and-drop neural networks, train in the browser, visualize during training, and export to Python.

A curated list of NLP resources focused on BERT, attention mechanism, Transformer networks, and transfer learning.

Introductions to key concepts in quantum machine learning, as well as tutorials and implementations from cutting-edge QML research.

Deep Reinforcement Learning for Keras.

📝 Подборка ресурсов по машинному обучению

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

Kaggle Data Science Bowl 2018

GPU accelerated Deep Belief Network

Neural network inference the Unix way

Classification with PyTorch.

Run Keras models in the browser, with GPU support using WebGL

Code repository for Frontiers article 'Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images - A Comparison of CycleGAN and UNIT'

Enhance your application with the ability to see and interact with humans using any RGB camera.

A simple JavaScript neural network framework.

Monthly Series - Top 10 Machine Learning Articles

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

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

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

Message Passing Neural Networks for Molecule Property Prediction

A High-Quality Real Time Upscaler for Anime Video

Simple Tensorflow implementation of Densenet using Cifar10, MNIST

TensorFlow-based neural network library

Deep Learning Specialization by Andrew Ng on Coursera.

Discovering Neural Wirings (https://arxiv.org/abs/1906.00586)

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

brief introduction to Python for neural networks

Image augmentation library in Python for machine learning.

Avalanche: a End-to-End Library for Continual Learning.

Semantic Image Segmentation using a Fully Convolutional Neural Network in TensorFlow

Be Like Bill meme generator and API created with PHP, Using this API you can include customised version of "Be like Bill" meme on your website.

DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

My personal notes, presentations, and notebooks on everything Deep Learning.

Just another DL library

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

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.

Computer vision tools for fairseq, containing PyTorch implementation of text recognition and object detection