6164 Open source projects that are alternatives of or similar to 4tu Css

3-day dive into deep learning at csc

Workshop on basic machine learning, computational modeling, psychophysics, basic data analysis and experiment design

Full Stack Data Science in Python

🐍 Learn Python and Pandas from the ground up

ARCHIVED: Contains historical course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL

A collection of the latest AWS Security workshops

Recommendation System using ML and DL

Master gradient-based machine learning. Also secretly a JAX course in disguise!

This repository contains all codes and materials of the current session. It contains the required code on Natural Language Processing, Artificial intelligence.

Material for my PyData Jupyter & Pandas Workshops, I'm also available for personal in-house trainings on request

ML.NET Workshop to predict car sales prices

RCS Intro to Databases workshop materials

Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)

A Machine Learning and Real-Time Data Analytics Workshop

Kaggle Cats & Dogs Redux with Cortex and Resnet50

Disk-to-disk chunk transformation for chunked arrays.

Talk at PyCon UA 2018 (Kharkov, Ukraine)

Classify images, specifically document images like ID cards, application forms, and cheque leafs, using CNN and the Keras libraries.

small template code to create a multilayer network using matplotlib and networkx

Implementation of NIPS 2017 paper "Pose Guided Person Image Generation" in PyTorch. https://arxiv.org/abs/1705.09368

An Absolute Beginners Guide to Machine Learning with PyTorch

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

500,000 multimodal short video data and baseline models. 50万条多模态短视频数据集和基线模型（TensorFlow2.0）。

KDD Cup 2020 Challenges for Modern E-Commerce Platform: Multimodalities Recall

Repositório com material para a disciplina Compiladores 1

Micheal Gardner的数据科学笔记

🏖 Keras Implementation of Painting outside the box

Python code and notebooks for reference

CCKS 2020: 基于本体的金融知识图谱自动化构建技术评测

📄 Research repository for InstaPy

Principles of Machine Learning R

Personal projects using machine learning and deep learning techniques

This is our solution for KDD Cup 2020. We implemented a very neat and simple neural ranking model based on siamese BERT which ranked first among the solo teams and ranked 12th among all teams on the final leaderboard.

This is the code for "Kaggle Challenge (LIVE)" by Siraj Raval on Youtube

This is the code for "The Evolution of Gradient Descent" by Siraj Raval on Youtube

PyEIS: A Python-based Electrochemical Impedance Spectroscopy simulator and analyzer

IPython kernel for Torch with visualization and plotting

Memory efficient MAML using gradient checkpointing

Pytorch0.4.1 codes for InsightFace

Codes related to activities on AV including articles, hackathons and discussions.

Contains Jupyter Notebooks/Resources provided by the author and my work on problem sets.

A Python package for training and analyzing expected goals (xG) models in soccer.

This repository includes the guidelines and the exercise files of the first part of my lectures on python for scientific programming which is dedicated to a general introduction to Python programming language. These lectures are a part of the "Energy and Environmental Technologies for Building Systems" course offered for M.Sc in Energy Eng. at Politecnico di Milano.

This repository contains implementations of photovoltaic models to calculate electricity generation from a pv installation based on given solar radiation. Furthermore it contains all necessary pre-calculations.

Code and Notebooks for the Natural Language Processing with Python course.

"Semantic Image Synthesis with Spatially-Adaptive Normalization" paper implementation

Docker container for the Raspberry Pi containing Tensorflow and Jupyter

Fast artistic style transfer with convolutional neural networks.

Model Compression Based on Geoffery Hinton's Logit Regression Method in Keras applied to MNIST 16x compression over 0.95 percent accuracy.An Implementation of "Distilling the Knowledge in a Neural Network - Geoffery Hinton et. al"

🎓 Jupyter notebooks from UFC data science course

Learning pandas, Second Edition, published by Packt

The tools and syntax you need to code neural networks from day one.

Material for the EPFL master course "A Network Tour of Data Science", edition 2017.

Web-based Reinforcement Learning Control Center

Course materials for Dartmouth Course: Storytelling with Data (PSYC 81.09).