6108 Open source projects that are alternatives of or similar to Tensorflow

kaggle Dog Breed Identification

VGG-19 deep learning model trained using ISCX 2012 IDS Dataset

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

a sklearn wrapper for Google's BERT model

Official Keras & PyTorch Implementation and Pre-trained Models for Models Genesis - MICCAI 2019

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

Transfer Learning Library

Deep Learning: Image classification, feature visualization and transfer learning with Keras

Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor

Train a state-of-the-art yolov3 object detector from scratch!

BERT-NER (nert-bert) with google bert https://github.com/google-research.

🔤 Calculate average word embeddings (word2vec) from documents for transfer learning

Skin cancer classification using Inceptionv3

Building an image classifier using keras

CNN image classifier implemented in Keras Notebook 🖼️.

Object classification with CIFAR-10 using transfer learning

Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes

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.

Applying NLP transfer learning techniques to predict Tweet stance

Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018

Transfer Learning Shootout for PyTorch's model zoo (torchvision)

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

Learn how to use PyTorch to solve some common NLP problems with deep learning.

Deep-learning seismic facies on state-of-the-art CNN architectures

High Quality Monocular Depth Estimation via Transfer Learning

Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM 2020

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

Neural Paiters

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

Reproduce research from paper "Predicting the direction of stock market prices using random forest"

Landmark Detection and Tracking (SLAM) project for CVND

Tutorial material and instruction for scipy 2018 jupyterlab tutorial

Deep Transfer Learning Papers

Simulations of photonic quantum programmable gate arrays

Fish detection using Open Images Dataset and Tensorflow Object Detection

Full-stack data project

本项目使用两种算法来实现一个电影推荐系统，一个是CNN，另一个是矩阵分解的协同过滤。

This is the code for "Google Dopamine (LIVE)" by Siraj Raval on Youtube

ETL with Python - Taught at DWH course 2017 (TAU)

Learning Heuristics for the TSP by Policy Gradient

深度学习的实战项目

A walk through the code behind setting up YOLOv3 with darknet and training it and processing video on Google Colaboratory

Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.

Official PyTorch implementation of "Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup" (ICML'20)

Cross-domain NER using cross-domain language modeling, code for ACL 2019 paper

介绍推荐系统几种算法的实现，可以作为模版在此基础上修改使用。

Demonstration of MapR for Industrial IoT

Simple data visualization on Covid-19 data using Pandas and Google Colaboratory

Code for the ICCV 2019 paper "Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation"

🚀 An end-to-end ML applications using PyTorch, W&B, FastAPI, Docker, Streamlit and Heroku → https://e2e-ml-app-pytorch.herokuapp.com/ (may take few minutes to spin up occasionally).

CV 方向论文阅读以及手写代码实现

Fully textured and animatable human body mesh reconstruction from a single image

Predictive Analytics with TensorFlow, published by Packt

Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.

Materials for a course at NYU Stern using Python to study economic and financial data.

Contrastive Code Representation Learning: functionality-based JavaScript embeddings through self-supervised learning