6563 Open source projects that are alternatives of or similar to Pytorch Model Zoo

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

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

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

Plain python implementations of basic machine learning algorithms

Code for the Lovász-Softmax loss (CVPR 2018)

Repo for the Deep Reinforcement Learning Nanodegree program

Computations and statistics on manifolds with geometric structures.

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

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

Visualisations for Convolutional Neural Networks in Pytorch

Probabilistic reasoning and statistical analysis in TensorFlow

DLTK Model Zoo

A collection of pre-trained, state-of-the-art models in the ONNX format

Contains my explorations of TensorFlow 2.x

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

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

A collection of Bayesian data analysis recipes using PyMC3

Support content for my blog

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.

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.

🔮 Life is short, you need PyTorch.

Fast and Easy Infinite Neural Networks in Python

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info

Grokking Deep Reinforcement Learning

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

Keras tutorial for beginners (using TF backend)

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

A simple probabilistic programming language.

Segmentation models with pretrained backbones. PyTorch.

Image augmentation library in Python for machine learning.

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

Deep Learning Specialization by Andrew Ng on Coursera.

A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

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)

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

Machine Learning Practical course repository

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

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

Aspect-Based Sentiment Analysis

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

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

Implementation of simple autoencoders networks with Keras

🎨 Artistic neural style transfer with tweaks (pytorch).

Koç University deep learning framework.

brief introduction to Python for neural networks

Datasets, tools, and benchmarks for representation learning of code.

Books, papers and links to latest research in ML/AI

pytorch 包教不包会

Daily Dose of Neural Network that Everyone Needs

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

Code for "A-NICE-MC: Adversarial Training for MCMC"