Pinned Repositories
10-steps-to-become-a-data-scientist
📢 Ready to learn or review your knowledge! You will learn 10 skills as data scientist: 📚 Python, Machine Learning, Deep Learning, Data Cleaning, EDA, python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.
A-Deep-Learning-Framework-for-Assessing-Physical-Rehabilitation-Exercises
A framework for quality assessment of exercises in physical rehabilitation based on skeletal joint displacements collected with a motion capture system.
a-PyTorch-Tutorial-to-Sequence-Labeling
Empower Sequence Labeling with Task-Aware Neural Language Model | a PyTorch Tutorial to Sequence Labeling
active-learning
Active Learning Workshop
AdaBound
An optimizer that trains as fast as Adam and as good as SGD.
AI_is_Math
This is my CV course raw data git repo. Check out my course site:
angular
One framework. Mobile & desktop.
Animal-Sound-Classifier-using-Watson-Studio
Build classification models using IBM Watson Studio to predict (identify) animal sounds. Learn how to best gather and prepare data, create and deploy models, deploy and test a signal processing application, create models with binary classifications, and display the predictions on a web page created using Node-RED.
Python-for-Data-Science-and-Machine-Learning-Bootcamp
TorchRayLib
A CMake based integration of the RayLib library with the Libtorch C++ Deep Learning Library.
ChenMalobani's Repositories
ChenMalobani/10-steps-to-become-a-data-scientist
📢 Ready to learn or review your knowledge! You will learn 10 skills as data scientist: 📚 Python, Machine Learning, Deep Learning, Data Cleaning, EDA, python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.
ChenMalobani/Artificial-Intelligence-Projects
Collection of Artificial Intelligence projects.
ChenMalobani/blogdown
Create Blogs and Websites with R Markdown
ChenMalobani/CS-Notes
:books: Tech Interview Guide 技术面试必备基础知识、Leetcode 题解、Java、C++、Python、后端面试、操作系统、计算机网络、系统设计
ChenMalobani/CS231n-2
My assignment solutions for CS231n - Convolutional Neural Networks for Visual Recognition
ChenMalobani/d2l-pytorch
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
ChenMalobani/DA-RNN
📃 PyTorch Implementation of DA-RNN (arXiv:1704.02971)
ChenMalobani/Data-Visualization
Collection of interactive Jupiter Notebook widgets and graphs.
ChenMalobani/DCGAN-tensorflow
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
ChenMalobani/deep-image-prior
Image restoration with neural networks but without learning.
ChenMalobani/deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
ChenMalobani/deepdream
ChenMalobani/faiss
A library for efficient similarity search and clustering of dense vectors.
ChenMalobani/fast-neural-style
Feedforward style transfer
ChenMalobani/graph_2D_CNN
Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')
ChenMalobani/manim
Animation engine for explanatory math videos
ChenMalobani/mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
ChenMalobani/models
Models and examples built with TensorFlow
ChenMalobani/NICE
NICE: NON-LINEAR INDEPENDENT COMPONENTS ESTIMATION
ChenMalobani/numerical-linear-algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
ChenMalobani/pandas-videos
Jupyter notebook and datasets from the pandas Q&A video series
ChenMalobani/PPO-Keras
My implementation of the Proximal Policy Optisation algorithm using Keras as a backend
ChenMalobani/practicalAI
📚 A practical approach to machine learning.
ChenMalobani/Self-Supervised-Network-Anomaly-Detection
First place solution for the Armis DataHack 2019 Challenge - Devices Gone Rogue
ChenMalobani/text_classification_from_zero_to_hero
ChenMalobani/trains
TRAINS - Auto-Magical Experiment Manager & Version Control for AI
ChenMalobani/unet
unet for image segmentation
ChenMalobani/unrestricted-adversarial-examples
Contest Proposal and infrastructure for the Unrestricted Adversarial Examples Challenge
ChenMalobani/VideoThat
DataHack 2019 Israel
ChenMalobani/VQ-VAE
Minimalist implementation of VQ-VAE in Pytorch