8053 Open source projects that are alternatives of or similar to Deep Learning Boot Camp

Embed a JavaScript/WebGL application on a Nvidia Jetson TX2 and stream the results through websockets. It does not rely on CUDA/Jetpack. HDMI touchscreen, virtual keyboard, GPIO control, wifi config are included.

Modern Data Science

BERT semantic search engine for searching literature research papers for coronavirus covid-19 in google colab

A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)

Completed assignments and coding challenges from the Lambda School Data Science program.

DeepFake Detection: Detect the video is fake or not using InceptionResNetV2.

Introduction to pandas Treehouse course

Human Activity Recognition (HAR) with Keras and CoreML

Fast Clojure Matrix Library

Performance-optimized wheels for TensorFlow (SSE, AVX, FMA, XLA, MPI)

Out-of-box Data Science / AI platform | AI/数据科学的瑞士军刀

The blog post about Kubeflow, including all materials

PyMC3 educational resources

Top 15% ranked solution to the Carvana Image Masking Challenge on Kaggle

GraphVite: A General and High-performance Graph Embedding System

Taking a pretrained GloVe model, and using it as a TensorFlow embedding weight layer **inside the GPU**. Therefore, you only need to send the index of the words through the GPU data transfer bus, reducing data transfer overhead.

Create HTML profiling reports from pandas DataFrame objects

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

Interview = 简历指南 + LeetCode + Kaggle

My kaggle competition solution and notebook

Python pour Statistique et Science des Données -- Syntaxe, Trafic de Données, Graphes, Programmation, Apprentissage

Python tools for data analysis

Google Colaboratory Notebooks and Repositories (by @firmai)

Association Rule Mining from Spatial Data for Crime Analysis

Reference implementation for "Massively Parallel Rendering of Complex Closed-Form Implicit Surfaces" (SIGGRAPH 2020)

ML.NET Workshop to predict car sales prices

Python training for business analysts and traders

A collection of Bash scripts and Dockerfiles to install data science Tool, Lib and application

In-depth tutorials for implementing deep learning models on your own with PyTorch.

Health Check ✔ is a Machine Learning Web Application made using Flask that can predict mainly three diseases i.e. Diabetes, Heart Disease, and Cancer.

Tests and benchmarks for cudnn (and in the future, other nvidia libraries)

Learn advanced data science on real-life, curated problems

A simple dashboard for NVIDIA GPU

🚚 Agile Data Preparation Workflows made easy with dask, cudf, dask_cudf and pyspark

Python Helper library for Jupyter Notebooks

Dockerfile of Jupyter (IPython notebook) and IOCaml (OCaml kernel) with libraries for data science and machine learning

A Julia machine learning framework

Rapid large-scale fractional differencing with RAPIDS to minimize memory loss while making a time series stationary. 6x-400x speed up over CPU implementation.

Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

Best Practices, code samples, and documentation for Computer Vision.

Resources for weekly Data Science Lunch & Learns

Kaggle-like machine learning competition platform

A collection of code examples as well as presentations for training purposes

Talks & Workshops by the CODAIT team

Python bindings for pyNVML and psutil library over network

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

Diseases Detection from NIH Chest X-ray data

brief introduction to Python for machine learning

My solution to the book A Collection of Data Science Take-Home Challenges

Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge

USC urban data science course series with Python and Jupyter

Templates for jupyter notebooks

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

MRI analysis using PyTorch and MedicalTorch

Concurrent CPU-GPU Programming using Task Models

Hidden miner builder

The data and code that used in my book.