All Projects → Digital Signal Processing Lecture → Similar Projects or Alternatives

6442 Open source projects that are alternatives of or similar to Digital Signal Processing Lecture

Tensorflow Multigpu Vae Gan
A single jupyter notebook multi gpu VAE-GAN example with latent space algebra and receptive field visualizations.
Stars: ✭ 409 (-23.12%)
Mutual labels:  jupyter-notebook
Jupyters and slides
Stars: ✭ 409 (-23.12%)
Mutual labels:  jupyter-notebook
Imagenette
A smaller subset of 10 easily classified classes from Imagenet, and a little more French
Stars: ✭ 407 (-23.5%)
Mutual labels:  jupyter-notebook
Scene Graph Benchmark.pytorch
A new codebase for popular Scene Graph Generation methods (2020). Visualization & Scene Graph Extraction on custom images/datasets are provided. It's also a PyTorch implementation of paper “Unbiased Scene Graph Generation from Biased Training CVPR 2020”
Stars: ✭ 462 (-13.16%)
Mutual labels:  jupyter-notebook
Colabcat
😺 Running Hashcat on Google Colab with session backup and restore.
Stars: ✭ 407 (-23.5%)
Mutual labels:  jupyter-notebook
Rrpn
Source code of RRPN ---- Arbitrary-Oriented Scene Text Detection via Rotation Proposals
Stars: ✭ 408 (-23.31%)
Mutual labels:  jupyter-notebook
Learningpyspark
Code base for the Learning PySpark book (in preparation)
Stars: ✭ 499 (-6.2%)
Mutual labels:  jupyter-notebook
Neural Turing Machines
Attempt at implementing system described in "Neural Turing Machines." by Graves, Alex, Greg Wayne, and Ivo Danihelka. (http://arxiv.org/abs/1410.5401)
Stars: ✭ 462 (-13.16%)
Mutual labels:  jupyter-notebook
Your first decentralized application
This is the code for "A Guide to Building Your First Decentralized Application" by Siraj Raval on Youtube
Stars: ✭ 408 (-23.31%)
Mutual labels:  jupyter-notebook
Computer Vision
Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition
Stars: ✭ 408 (-23.31%)
Mutual labels:  jupyter-notebook
Timeseries seq2seq
This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.
Stars: ✭ 462 (-13.16%)
Mutual labels:  jupyter-notebook
Cs224n Squad Project
Stars: ✭ 408 (-23.31%)
Mutual labels:  jupyter-notebook
Python Tutorial
python教程,包括:python基础、python进阶;常用机器学习库:numpy、scipy、sklearn、xgboost;深度学习库:keras、tensorflow、paddle、pytorch。
Stars: ✭ 407 (-23.5%)
Mutual labels:  jupyter-notebook
Examples
TensorFlow examples
Stars: ✭ 5,663 (+964.47%)
Mutual labels:  jupyter-notebook
Transdim
Machine learning for transportation data imputation and prediction.
Stars: ✭ 515 (-3.2%)
Mutual labels:  jupyter-notebook
Pangeo
Pangeo website + discussion of general issues related to the project.
Stars: ✭ 500 (-6.02%)
Mutual labels:  jupyter-notebook
Instcolorization
Stars: ✭ 461 (-13.35%)
Mutual labels:  jupyter-notebook
Deep learning nlp
Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP
Stars: ✭ 407 (-23.5%)
Mutual labels:  jupyter-notebook
Pixyz
A library for developing deep generative models in a more concise, intuitive and extendable way
Stars: ✭ 407 (-23.5%)
Mutual labels:  jupyter-notebook
Generative Adversarial Network Tutorial
Tutorial on creating your own GAN in Tensorflow
Stars: ✭ 461 (-13.35%)
Mutual labels:  jupyter-notebook
Machinelearning
Machine Learning
Stars: ✭ 406 (-23.68%)
Mutual labels:  jupyter-notebook
Xlearn
Transfer Learning Library
Stars: ✭ 406 (-23.68%)
Mutual labels:  jupyter-notebook
Deep Learning
A few notebooks about deep learning in pytorch
Stars: ✭ 496 (-6.77%)
Mutual labels:  jupyter-notebook
Gantts
PyTorch implementation of GAN-based text-to-speech synthesis and voice conversion (VC)
Stars: ✭ 460 (-13.53%)
Mutual labels:  jupyter-notebook
Ai Lab
All-in-one AI container for rapid prototyping
Stars: ✭ 406 (-23.68%)
Mutual labels:  jupyter
Gif
✨ The extension for Altair, matplotlib, and Plotly animations
Stars: ✭ 406 (-23.68%)
Mutual labels:  jupyter-notebook
Artificial Intelligence For Trading
Content for Udacity's AI in Trading NanoDegree.
Stars: ✭ 459 (-13.72%)
Mutual labels:  jupyter-notebook
H2o Meetups
Presentations from H2O meetups & conferences by the H2O.ai team
Stars: ✭ 405 (-23.87%)
Mutual labels:  jupyter-notebook
Kaggle
Codes for Kaggle Competitions
Stars: ✭ 404 (-24.06%)
Mutual labels:  jupyter-notebook
Hidt
Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)
Stars: ✭ 513 (-3.57%)
Mutual labels:  jupyter-notebook
Vl Bert
Code for ICLR 2020 paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".
Stars: ✭ 493 (-7.33%)
Mutual labels:  jupyter-notebook
Pba
Efficient Learning of Augmentation Policy Schedules
Stars: ✭ 461 (-13.35%)
Mutual labels:  jupyter-notebook
Pycon 2016 Tutorial
Machine Learning with Text in scikit-learn
Stars: ✭ 405 (-23.87%)
Mutual labels:  jupyter-notebook
Simgan Captcha
Solve captcha without manually labeling a training set
Stars: ✭ 405 (-23.87%)
Mutual labels:  jupyter-notebook
Memeproject
Dank Learning codebase, generate a meme from any image using AI. Uses a modified version of the Show and Tell image captioning network
Stars: ✭ 459 (-13.72%)
Mutual labels:  jupyter-notebook
Eco Efficient Video Understanding
Code and models of paper " ECO: Efficient Convolutional Network for Online Video Understanding", ECCV 2018
Stars: ✭ 406 (-23.68%)
Mutual labels:  jupyter-notebook
Faster rcnn for open images dataset keras
Faster R-CNN for Open Images Dataset by Keras
Stars: ✭ 405 (-23.87%)
Mutual labels:  jupyter-notebook
Self Driving Toy Car
A self driving toy car using end-to-end learning
Stars: ✭ 494 (-7.14%)
Mutual labels:  jupyter-notebook
Fastquant
fastquant — Backtest and optimize your trading strategies with only 3 lines of code!
Stars: ✭ 457 (-14.1%)
Mutual labels:  jupyter-notebook
The Elements Of Statistical Learning Python Notebooks
A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book
Stars: ✭ 405 (-23.87%)
Mutual labels:  jupyter-notebook
Ml Powered Applications
Companion repository for the book Building Machine Learning Powered Applications
Stars: ✭ 402 (-24.44%)
Mutual labels:  jupyter-notebook
Automated Feature Engineering
Automated feature engineering in Python with Featuretools
Stars: ✭ 458 (-13.91%)
Mutual labels:  jupyter-notebook
Skimage Tutorials
skimage-tutorials: a collection of tutorials for the scikit-image package.
Stars: ✭ 403 (-24.25%)
Mutual labels:  jupyter-notebook
Mit ocw linear algebra 18 06
IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)
Stars: ✭ 403 (-24.25%)
Mutual labels:  jupyter-notebook
Fullstack Data Engineer
全栈数据工程师养成攻略
Stars: ✭ 531 (-0.19%)
Mutual labels:  jupyter-notebook
Music recommender
Music recommender using deep learning with Keras and TensorFlow
Stars: ✭ 528 (-0.75%)
Mutual labels:  jupyter-notebook
Pytorch Deep Learning
Deep Learning (with PyTorch)
Stars: ✭ 5,574 (+947.74%)
Mutual labels:  jupyter-notebook
Hyperparameter Optimization Of Machine Learning Algorithms
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
Stars: ✭ 516 (-3.01%)
Mutual labels:  jupyter-notebook
Tinderautomation
Stars: ✭ 495 (-6.95%)
Mutual labels:  jupyter-notebook
Hyperparameter Optimization
Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
Stars: ✭ 457 (-14.1%)
Mutual labels:  jupyter-notebook
Joint Vae
Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation 🌟
Stars: ✭ 404 (-24.06%)
Mutual labels:  jupyter-notebook
Coursera Stanford Ml Python
Coursera/Stanford Machine Learning course assignments in python
Stars: ✭ 403 (-24.25%)
Mutual labels:  jupyter-notebook
Urban Sound Classification
Urban sound classification using Deep Learning
Stars: ✭ 456 (-14.29%)
Mutual labels:  jupyter-notebook
Oreilly Learning Tensorflow
Stars: ✭ 404 (-24.06%)
Mutual labels:  jupyter-notebook
Tensorflow learning notes
tensorflow学习笔记,来源于电子书:《Tensorflow实战Google深度学习框架》
Stars: ✭ 403 (-24.25%)
Mutual labels:  jupyter-notebook
Docproduct
Medical Q&A with Deep Language Models
Stars: ✭ 495 (-6.95%)
Mutual labels:  jupyter-notebook
Deep Learning Traffic Lights
Code and files of the deep learning model used to win the Nexar Traffic Light Recognition challenge
Stars: ✭ 457 (-14.1%)
Mutual labels:  jupyter-notebook
Namedtensor
Named Tensor implementation for Torch
Stars: ✭ 403 (-24.25%)
Mutual labels:  jupyter-notebook
Blogger Cli
A cli tool to convert and manage jupyter notebook blogs. Proudly host your notebooks even as a static site.
Stars: ✭ 404 (-24.06%)
Mutual labels:  jupyter
N2
TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets
Stars: ✭ 457 (-14.1%)
Mutual labels:  jupyter-notebook
301-360 of 6442 similar projects