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/a-PyTorch-Tutorial-to-Sequence-Labeling
Empower Sequence Labeling with Task-Aware Neural Language Model | a PyTorch Tutorial to Sequence Labeling
ChenMalobani/AI_is_Math
This is my CV course raw data git repo. Check out my course site:
ChenMalobani/auto-regressive-time-series-model
Implementing Time Series Auto Regressive Model (AR Model) from Scratch in Python
ChenMalobani/BDA_course_Aalto
Bayesian Data Analysis course at Aalto
ChenMalobani/course-nlp
A Code-First Introduction to NLP course
ChenMalobani/Deep-Tutorials-for-PyTorch
In-depth tutorials for implementing deep learning models on your own with PyTorch.
ChenMalobani/deep_learning_NLP
Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP
ChenMalobani/DeepFaceLab
DeepFaceLab is the leading software for creating deep fakes.
ChenMalobani/Global-Wheat-Detection
Showcases the use of deep learning to detect wheat heads from crops. The project is based on: https://www.kaggle.com/c/global-wheat-detection.
ChenMalobani/Hotel-Booking-Cancellation
ChenMalobani/intro_to_data_science_R
Introduction to Data Science with R course
ChenMalobani/kaggle-imaterialist
The First Place Solution of Kaggle iMaterialist (Fashion) 2019 at FGVC6
ChenMalobani/keras_rl_tutorial
ChenMalobani/machine-learning
Content for Udacity's Machine Learning curriculum
ChenMalobani/ml-coursera-python-assignments
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
ChenMalobani/netflix_embedding
A embedding layer example for the Netflix Prize dataset
ChenMalobani/partial-labels
multi label classification with missing labels
ChenMalobani/PlotNeuralNet
Latex code for making neural networks diagrams
ChenMalobani/Predicting-Hotel-Bookings-Cancellation
ChenMalobani/Rehabilitation-Assessment-through-Dimensionality-Reduction-and-Statistical-Modeling
An autoencoder neural network and a Gaussian mixture model are used for generating movement quality scores for rehabilitation exercises.
ChenMalobani/reinforcement-learning-stanford
🕹️ CS234: Reinforcement Learning, Winter 2019 | YouTube videos 👉
ChenMalobani/SampleNet
Differentiable Point Cloud Sampling (CVPR 2020 Oral)
ChenMalobani/social-distancing-monitoring
ChenMalobani/SPADE
Semantic Image Synthesis with SPADE
ChenMalobani/speed-measurer-using-webcam
This is yet simple logic based program which uses python language and opencv module to measure speed of object without requiring any expensive hardware.
ChenMalobani/SRGAN-Keras-Implementation
Photo Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras
ChenMalobani/tf-pose-estimation
Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.
ChenMalobani/vid2vid
Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.
ChenMalobani/VisualizeMNIST
This project is real-time visualization of a network recognizing digits from user's input.
ChenMalobani/yolov3
YOLOv3 in PyTorch > ONNX > CoreML > iOS