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

Deep learning library for solving differential equations and more

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

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

PyTorch Implementation for Deep Metric Learning Pipelines

Contains my explorations of TensorFlow 2.x

darknet neural network addon for openFrameworks

A simple probabilistic programming language.

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

sktime companion package for deep learning based on TensorFlow

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

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

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

Computations and statistics on manifolds with geometric structures.

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

Neural network inference the Unix way

Deep Learning Specialization by Andrew Ng on Coursera.

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

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

A higher-level Neural Network library for microcontrollers.

Image augmentation library in Python for machine learning.

Purely functional artificial neural network library implemented in Haskell.

A neural network for end-to-end speech denoising

Keras tutorial for beginners (using TF backend)

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

PyTorch Tutorial for Deep Learning Researchers

How to use TensorLayer

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

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

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

PyTorch implementations of algorithms for density estimation

Message Passing Neural Networks for Molecule Property Prediction

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

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.

Learning to Learn in TensorFlow

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 …

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

Build Graph Nets in Tensorflow

Experimental keras implementation of novel neural network structures

A collection of Bayesian data analysis recipes using PyMC3

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

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

Lightweight library to build and train neural networks in Theano

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

Repo for the Deep Reinforcement Learning Nanodegree program

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

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!

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

an Open Course Platform for Stanford CS224n (2020 Winter)

Visualization toolkit for neural networks in PyTorch! Demo -->

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

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

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

Monthly Series - Top 10 Machine Learning Articles

DN2A - Digital Neural Networks Architecture

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

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

Deep Reinforcement Learning for Keras.

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

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)