IpyplotIPyPlot is a small python package offering fast and efficient plotting of images inside Python Notebooks. It's using IPython with HTML for faster, richer and more interactive way of displaying big numbers of images.
Stars: ✭ 152 (+442.86%)
Nn🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Stars: ✭ 5,720 (+20328.57%)
Image-ClassifierFinal Project of the Udacity AI Programming with Python Nanodegree
Stars: ✭ 63 (+125%)
ZhihuThis repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.
Stars: ✭ 3,307 (+11710.71%)
Pytorch Image ClassificationTutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
Stars: ✭ 272 (+871.43%)
Cs231Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition
Stars: ✭ 317 (+1032.14%)
Concise Ipython Notebooks For Deep LearningIpython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.
Stars: ✭ 23 (-17.86%)
Data Science HacksData Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.
Stars: ✭ 273 (+875%)
Amazing Feature EngineeringFeature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
Stars: ✭ 218 (+678.57%)
Cyclegan QpOfficial PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"
Stars: ✭ 59 (+110.71%)
DeblurganImage Deblurring using Generative Adversarial Networks
Stars: ✭ 2,033 (+7160.71%)
Meme GeneratorMemeGen is a web application where the user gives an image as input and our tool generates a meme at one click for the user.
Stars: ✭ 57 (+103.57%)
SodAn Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)
Stars: ✭ 1,460 (+5114.29%)
DpedSoftware and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks
Stars: ✭ 1,315 (+4596.43%)
T81 558 deep learningWashington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
Stars: ✭ 4,152 (+14728.57%)
Traffic Sign ClassifierUdacity Self-Driving Car Engineer Nanodegree. Project: Build a Traffic Sign Recognition Classifier
Stars: ✭ 12 (-57.14%)
Tensorflow 101TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow
Stars: ✭ 642 (+2192.86%)
MishOfficial Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]
Stars: ✭ 1,072 (+3728.57%)
Caffenet BenchmarkEvaluation of the CNN design choices performance on ImageNet-2012.
Stars: ✭ 700 (+2400%)
Edavizedaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab
Stars: ✭ 220 (+685.71%)
TrashnetDataset of images of trash; Torch-based CNN for garbage image classification
Stars: ✭ 368 (+1214.29%)
Computer VisionProgramming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition
Stars: ✭ 408 (+1357.14%)
Sklearn BayesPython package for Bayesian Machine Learning with scikit-learn API
Stars: ✭ 428 (+1428.57%)
Py d3D3 block magic for Jupyter notebook.
Stars: ✭ 428 (+1428.57%)
Generative ModelsAnnotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
Stars: ✭ 438 (+1464.29%)
Data Science Ipython NotebooksData science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Stars: ✭ 22,048 (+78642.86%)
TeachingTeaching Materials for Dr. Waleed A. Yousef
Stars: ✭ 435 (+1453.57%)
Food Recipe Cnnfood image to recipe with deep convolutional neural networks.
Stars: ✭ 448 (+1500%)
CoursesQuiz & Assignment of Coursera
Stars: ✭ 454 (+1521.43%)
GanttsPyTorch implementation of GAN-based text-to-speech synthesis and voice conversion (VC)
Stars: ✭ 460 (+1542.86%)
Seq2seqchatbotsA wrapper around tensor2tensor to flexibly train, interact, and generate data for neural chatbots.
Stars: ✭ 466 (+1564.29%)
CaerHigh-performance Vision library in Python. Scale your research, not boilerplate.
Stars: ✭ 452 (+1514.29%)
OnnxruntimeONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Stars: ✭ 5,910 (+21007.14%)
Best Of Ml Python🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Stars: ✭ 6,057 (+21532.14%)
IntrotodeeplearningLab Materials for MIT 6.S191: Introduction to Deep Learning
Stars: ✭ 4,955 (+17596.43%)
GeomstatsComputations and statistics on manifolds with geometric structures.
Stars: ✭ 498 (+1678.57%)
EdwardA probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Stars: ✭ 4,674 (+16592.86%)
Generative Adversarial NetworksIntroduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs
Stars: ✭ 505 (+1703.57%)
Tracking With DarkflowReal-time people Multitracker using YOLO v2 and deep_sort with tensorflow
Stars: ✭ 515 (+1739.29%)
Moderndive bookStatistical Inference via Data Science: A ModernDive into R and the Tidyverse
Stars: ✭ 527 (+1782.14%)
Edward2A simple probabilistic programming language.
Stars: ✭ 419 (+1396.43%)
AugmentorImage augmentation library in Python for machine learning.
Stars: ✭ 4,594 (+16307.14%)
Gluon CvGluon CV Toolkit
Stars: ✭ 5,001 (+17760.71%)
Tf TutorialsA collection of deep learning tutorials using Tensorflow and Python
Stars: ✭ 524 (+1771.43%)
Music recommenderMusic recommender using deep learning with Keras and TensorFlow
Stars: ✭ 528 (+1785.71%)
Cookbook 2nd CodeCode of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]
Stars: ✭ 541 (+1832.14%)