485 Open source projects that are alternatives of or similar to Beholder

How to use TensorLayer

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

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

CNN-RNN中文文本分类，基于TensorFlow

Keras tutorial for beginners (using TF backend)

A simple probabilistic programming language.

Tensorflow implementation of CycleGAN

PyTorch implementations of algorithms for density estimation

Repo for the Deep Reinforcement Learning Nanodegree program

Deep Learning Computer Vision Algorithms for Real-World Use

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

Contains my explorations of TensorFlow 2.x

Tensorflow Faster RCNN for Object Detection

Start Tensorboard in Jupyter Notebook

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

Experimental keras implementation of novel neural network structures

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

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

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

Lightweight library to build and train neural networks in Theano

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

The open and extensible integrated development environment (IDE) for computer vision with built-in modules for model building, automated labeling, data processing, model training, hyperparameter tuning and workflow orchestration.

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!

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

InceptionTime: Finding AlexNet for Time Series Classification

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

Learning to Learn in TensorFlow

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

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

Standalone TensorBoard for visualizing in deep learning

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

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

DN2A - Digital Neural Networks Architecture

Conversation models in TensorFlow. (website removed)

A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps

Brevitas: quantization-aware training in PyTorch

PyTorch Implementation for Deep Metric Learning Pipelines

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

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

📄 A PyTorch implementation of Paragraph Vectors (doc2vec).

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

Plain python implementations of basic machine learning algorithms

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

Mobile AI Compute Engine Model Zoo

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

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 higher-level Neural Network library for microcontrollers.

Probabilistic reasoning and statistical analysis in TensorFlow

PyTorch Tutorial for Deep Learning Researchers

High-level batteries-included neural network training library for Pytorch

sktime companion package for deep learning based on TensorFlow

Neural networks training pipeline based on PyTorch

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

Purely functional artificial neural network library implemented in Haskell.

Source code/webpage/demos for the What-If Tool

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

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

Deep learning library for solving differential equations and more

an Open Course Platform for Stanford CS224n (2020 Winter)