6398 Open source projects that are alternatives of or similar to Catdcgan

deeplearning.ai , By Andrew Ng, All slide and notebook + data + solutions and video link

Adversarial networks in TensorFlow

The "Python Machine Learning (3rd edition)" book code repository

Chinese Poetry Generation

GANnotation (PyTorch): Landmark-guided face to face synthesis using GANs (And a triple consistency loss!)

MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope)

借助Python抓取微博数据，并对抓取的数据进行情绪分析

A PyTorch implementation of "DGC-Net: Dense Geometric Correspondence Network"

A collection of open-source GPU accelerated Python tools and examples for quantitative analyst tasks and leverages RAPIDS AI project, Numba, cuDF, and Dask.

This repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in collaboration with Optiver and have been peer-reviewed by staff members of Optiver.

Example code from the book "Deep Learning for the Life Sciences"

Kaggle Segmentation Challenge

ZeroCostDL4Mic: A Google Colab based no-cost toolbox to explore Deep-Learning in Microscopy

Notebooks for https://python.quantecon.org

1st Solution for 2019-CIKM-Analyticup, Efficient and Novel Item Retrieval for Large-scale Online Shopping Recommendation

MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification

This Python library makes it easy to display images and videos in a notebook.

HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).

Recommendation System using ML and DL

Image Deblurring using Generative Adversarial Networks

Scripts and data for various Vox Media stories and news projects

Resources and Implementations of Generative Adversarial Nets which are focusing on how to stabilize training process and generate high quality images: DCGAN, WGAN, EBGAN, BEGAN, etc.

Notebooks on how to use Distributed Evolutionary Algorithm in Python (DEAP)

⭐️ PyTorch implement of Deeply Supervised Salient Object Detection with Short Connection

Stuff I uploaded to share online or to access from a different machine

Recitation notebooks for Extended Introduction to Computer Science with Python as Tel-Aviv University

HandySpark - bringing pandas-like capabilities to Spark dataframes

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

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

Activity Recognition from 2D pose using an LSTM RNN

In The Wild 3D Morphable Models

Tools for diffing and merging of Jupyter notebooks.

An implementation of a sequence to sequence neural network using an encoder-decoder

Python sample codes for robotics algorithms.

中文的 tensorflow tutorial with jupyter notebooks

机器学习&深度学习资料笔记&基本算法实现&资源整理（ML / CV / NLP / DM...）

🕵️‍♂️ Interpreting Convolutional Neural Network (CNN) Results.

这个项目是基于论文YOLO9000: Better, Faster, Stronger的keras（backend：tensorflow）实现

An OCaml kernel for Jupyter (IPython) notebook

Unsupervised anomaly detection with generative model, keras implementation

Powering Amazon custom machine learning chips. Blazing fast and cost effective, natively integrated into PyTorch and TensorFlow and integrated with your favorite AWS services

📚 The Open Source Education Initiative – a repository with resources for 60+ engineering subjects. Let's make education more open and accessible! 🚀✨

✅ Solutions to MachineLearning, DeepLearning, NeuralNetwork

This repository walks you through how to Build and Run YOLOv4 Object Detections with Darknet in the Cloud with Google Colab.

Deformable Style Transfer (ECCV 2020)

Python library for identifying the peaks and valleys of a time series.

唐诗，藏头诗，按需自动生成古诗，基于Keras、LSTM-RNN。文档齐全。

TensorFlow for absolute beginners: a 3-hour codelab for self-learning neural network basics without hard math.

Neural image captioning (NIC) implementation with Keras 2.

Exercises and solutions to accompany my Safari course introducing TensorFlow.

Demo code of the paper "SegFlow: Joint Learning for Video Object Segmentation and Optical Flow", in ICCV 2017

基于U-Net检测卫星图像上的新增建筑

quantitative security portfolio analysis. The analysis pipeline including data storage abstraction, alpha calculation, ML based alpha combining and portfolio calculation.

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