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

There are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.

Pytorch starter kit for Kaggle competitions

📢 Ready to learn or review your knowledge!

gmonitor is a GPU monitor (Nvidia only at the moment)

Kaggle Data Science Bowl 2018

🐜 A CUDA based miner for Monero

Achieve peak performance on x86 CPUs and NVIDIA GPUs

This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

A fast Clojure Tensor & Deep Learning library

🔥机器学习/深度学习/Python/算法面试/自然语言处理教程/剑指offer/machine learning/deeplearning/Python/Algorithm interview/NLP Tutorial

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

OptiX Path Tracer

Comparison tools

Data visualisation in Python based on OptiX 7.2 ray tracing framework.

This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and reading material.

gprMax is open source software that simulates electromagnetic wave propagation using the Finite-Difference Time-Domain (FDTD) method for numerical modelling of Ground Penetrating Radar (GPR)

cuML - RAPIDS Machine Learning Library

Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

Thin C++-flavored wrappers for the CUDA Runtime API

All-in-one AI container for rapid prototyping

Sample notebooks for Kaggle competitions

Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).

50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster

Codes and dashboards for 4th place solution for Kaggle's Home Credit Default Risk competition

🐳📊🤓Cookiecutter template to launch an awesome dockerized Data Science toolstack (incl. Jupyster, Superset, Postgres, Minio, AirFlow & API Star)

🛠 All-in-one web-based IDE specialized for machine learning and data science.

Kaggle Kernel for House Prices competition https://www.kaggle.com/massquantity/all-you-need-is-pca-lb-0-11421-top-4

A real time optical flow algorithm implemented on GPU

The C++ Standard Library for your entire system.

数据科学竞赛知识、代码、思路

Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]

Cooperative primitives for CUDA C++.

Experiments with CUDA and Rust

Modified nVidia .inf files to run drivers on all video cards, research & telemetry free drivers

SDK for GPU accelerated genome assembly and analysis

Open solution to the Toxic Comment Classification Challenge

Set up CUDA for machine learning (and gaming) on macOS using a NVIDIA eGPU

Dockerfiles for OpenCV compiled with CUDA, opencv_contrib modules and Python 3 bindings

We pit Keras and PyTorch against each other, showing their strengths and weaknesses in action. We present a real problem, a matter of life-and-death: distinguishing Aliens from Predators!

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

阿水的数据竞赛开源分支

The C++ parallel algorithms library.

ILGPU JIT Compiler for high-performance .Net GPU programs

Grokking Deep Reinforcement Learning

A CUDA implementation of SIFT for NVidia GPUs (1.2 ms on a GTX 1060)

High-performance Vision library in Python. Scale your research, not boilerplate.

Allstate Kaggle Competition ML Capstone Project

An open-source, low-code machine learning library in Python

OpenCL integration for Python, plus shiny features

深度学习在推荐系统中的应用及论文小结。

Solution to Kaggle - Web Traffic Time Series Forecasting

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

PyTorch tutorials A to Z

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

PyTorch/TorchScript compiler for NVIDIA GPUs using TensorRT

A collection of notebooks of my Machine Learning class written in python 3

An extensible HPC framework for CUDA, OpenCL and native CPU.

Concurrent CPU-GPU Programming using Task Models