418 Open source projects that are alternatives of or similar to Pytorch Flows

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!

links to conference publications in graph-based deep learning

Deep Learning Computer Vision Algorithms for Real-World Use

🥕 Evolutionary Neural Networks in JavaScript

Experimental keras implementation of novel neural network structures

Place recognition with WiFi fingerprints using Autoencoders and Neural Networks

Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

Deep Learning for humans

an Open Course Platform for Stanford CS224n (2020 Winter)

All the slides, accompanying code and exercises all stored in this repo. 🎈

🌓 Bringing pjreddie's DarkNet out of the shadows #yolo

Datasets, tools and more from Darwinex Labs - Prop Investing Arm & Quant Team @ Darwinex

Learning to Learn in TensorFlow

The SpeechBrain project aims to build a novel speech toolkit fully based on PyTorch. With SpeechBrain users can easily create speech processing systems, ranging from speech recognition (both HMM/DNN and end-to-end), speaker recognition, speech enhancement, speech separation, multi-microphone speech processing, and many others.

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction

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

One Shot Learning using Memory-Augmented Neural Networks (MANN) based on Neural Turing Machine architecture in Tensorflow

InceptionTime: Finding AlexNet for Time Series Classification

a toolkit for pose estimation using deep learning

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

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Grokking Deep Reinforcement Learning

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

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

Applying Data Science and Machine Learning to Solve Real World Business Problems

Python implementation of soft-DTW.

Gradient based Hyperparameter Tuning library in PyTorch

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

Dilated CNNs for NER in TensorFlow

Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.

How to use TensorLayer

LaTeX/PDF + Epub version of the online book (http://neuralnetworksanddeeplearning.com) ”Neural Networks and Deep Learning“ by Michael Nielsen (@mnielsen)

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

18.S096 - Applications of Scientific Machine Learning

Lightweight library to build and train neural networks in Theano

A PyTorch Library for Accelerating 3D Deep Learning Research

Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

Japanese Riichi Mahjong AI agent. (Feel free to extend this agent or develop your own agent)

Brevitas: quantization-aware training in PyTorch

Hummingbird compiles trained ML models into tensor computation for faster inference.

Tensors and differentiable operations (like TensorFlow) in Rust

Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments

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

The author's officially unofficial PyTorch BigGAN implementation.

The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.

Deep Learning for Seismic Imaging and Interpretation

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

Accelerate Neural Net Training by Progressively Freezing Layers

SharpNEAT - Evolution of Neural Networks. A C# .NET Framework.

Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.

Repo for the Deep Reinforcement Learning Nanodegree program

Relax! Flux is the ML library that doesn't make you tensor

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

Deep learning library for solving differential equations and more

A simple probabilistic programming language.

sktime companion package for deep learning based on TensorFlow

Plain python implementations of basic machine learning algorithms