6614 Open source projects that are alternatives of or similar to Signals And Systems Lecture

Reading notes on the excellent "Designing Data-Intensive Applications"

A repository with solutions to the assignments on Andrew Ng's machine learning MOOC on Coursera

A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

SphereFace+ Implementation for <Learning towards Minimum Hyperspherical Energy> in NIPS'18.

To make it easy to benchmark AI accelerators

Content for architecting a data science platform for products using Luigi, Spark & Flask.

Fundamentals of Spark with Python (using PySpark), code examples

All the ML algorithms, ML models are coded from scratch by pure Python/Numpy with the Math under the hood. It works well on CPU.

基于U-Net检测卫星图像上的新增建筑

Big Data Ecosystem Docker

Predicting house prices using Linear Regression and GBR

Projects done in the Data Engineering Nanodegree by Udacity.com

Helmut Hoffer von Ankershoffen experimenting with arm64 based NVIDIA Jetson (Nano and AGX Xavier) edge devices running Kubernetes (K8s) for machine learning (ML) including Jupyter Notebooks, TensorFlow Training and TensorFlow Serving using CUDA for smart IoT.

⭐️ PyTorch implement of Deeply Supervised Salient Object Detection with Short Connection

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

Tutorials on Julia topics

Notebook for my medium article about how to use Dataset API in TensorFlow

A New, Interactive Approach to Learning Python

GitHub Action for testing notebooks

Notebooks for upcoming fastai book (draft / incomplete)

Release of CIFAR-10.1, a new test set for CIFAR-10.

Archived - not answering issues

A library for federated learning (a distributed machine learning process) in an enterprise environment.

Tensorflow implementation of Deepminds dqn with double dueling networks

This repo summarizes the tutorials, datasets, papers, codes and tools for speech separation and speaker extraction task. You are kindly invited to pull requests.

HandySpark - bringing pandas-like capabilities to Spark dataframes

Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)

Complete deep learning project developed in Full Stack Deep Learning, Spring 2021

Based on "Image Quilting for Texture Synthesis and Transfer" and "Real-Time Texture Synthesis by Patch-Based Sampling" papers

Various math-related things in Python code

Main code for Parcels (Probably A Really Computationally Efficient Lagrangian Simulator)

massively parallel experimentation with Jupyter and AWS Lambda 🐑🌩📒

Stereo convolutional neural network for depth map prediction from stereo images

This repository contains the Tutorials for the NPTEL MOOC on Machine Learning.

Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more

This repository contains code for the paper Learning by Association - A versatile semi-supervised training method for neural networks (CVPR 2017) and the follow-up work Associative Domain Adaptation (ICCV 2017).

a bot that generates realistic replies using a combination of pretrained GPT-2 and BERT models

Modification of fast.ai deep learning course notebooks for usage with Keras 2 and Python 3.

Feature selector is a tool for dimensionality reduction of machine learning datasets

IPython Parallel: Interactive Parallel Computing in Python

COVID-19 Mobility Data Aggregator. Scraper of Google, Apple, Waze and TomTom COVID-19 Mobility Reports🚶🚘🚉

Face Depixelizer based on "PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models" repository.

Scenarios, tutorials and demos for Autonomous Driving

Deploy and scale serverless machine learning app - in 4 steps.

👩‍🏫 Advanced NLP with spaCy: A free online course

C/C++/Python based computer vision models using OpenPose, OpenCV, DLIB, Keras and Tensorflow libraries. Object Detection, Tracking, Face Recognition, Gesture, Emotion and Posture Recognition

A threat hunting / data analysis environment based on Python, Pandas, PySpark and Jupyter Notebook.

Jupyter notebooks on time series econometrics topics.

market cap datasets (1995~2021 daily, 10 million+ rows)

Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018

https://www.udemy.com/python-for-finance-and-trading-algorithms/