5921 Open source projects that are alternatives of or similar to Handson Ml2

Machine Learning Algorithms implementations

从零基础开始机器学习之旅

A beginner-friendly project to help you in open-source contributions. Made specifically for contributions in HACKTOBERFEST 2020! Hello World Programs and Algorithms! Please leave a star ⭐ to support this project! ✨

Code and resources for my blog and articles to share Data Science and AI knowledge and learnings with everyone

Visualising LIDAR data from KITTI dataset.

Deep Keyphrase Extraction using BERT

线性代数笔记

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Use the Mask RCNN for the human pose estimation

A game theoretic approach to explain the output of any machine learning model.

LargitData Course Material

Transformer OCR

Convert human motion from video to .bvh

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

This is the code for the "How to Make Word Vectors from Game of Thrones (LIVE) " Siraj Raval on Youtube

Run any standard Python code quality tool on a Jupyter Notebook

Classifying White Blood Cells with CNNs

Learn Python, Easy to learn, Awesome

A PyTorch library for two-sample tests

A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.

Contains files for the deep learning in genomics primer.

Python Bootcamp docs and lectures (UC Berkeley)

MIMIC-Extract:A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III

just some code snippet

StructureNet: Hierarchical Graph Networks for 3D Shape Generation

General Assembly's Data Science course in Washington, DC

Notebooks using the Hugging Face libraries 🤗

Code snippets from Kite blog posts

Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning

Deep learning system course

Continual Learning tutorials and demo running on Google Colaboratory.

31 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.

Notes and Summaries on ML-related Research Papers (with optional implementations)

TLM Monthly Projects. Join our slack to work on them.

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.

Visual Search using Apache MXNet and gluon

Use CNN to detect nodules in LIDC dataset.

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

Official Repo for Google Cloud AI Platform

A collection of open-source GPU accelerated Python tools and examples for quantitative analyst tasks and leverages RAPIDS AI project, Numba, cuDF, and Dask.

Optimization Examples with SigOpt

ZeroCostDL4Mic: A Google Colab based no-cost toolbox to explore Deep-Learning in Microscopy

Graph Convolution Network for NLP

Keras Implementation of The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation by (Simon Jégou, Michal Drozdzal, David Vazquez, Adriana Romero, Yoshua Bengio)

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

Decaf is DEPRECATED! Please visit http://caffe.berkeleyvision.org/ for Caffe, the new framework that has all the good things: GPU computation, full train/test scripts, native C++, and an active community!

Compared performance of KNN, SVM, BPNN, CNN, Transfer Learning (retrain on Inception v3) on image classification problem. CNN is implemented with TensorFlow

Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).

Udacity Project - Vehicle Detection

An easy to use VR toolkit for Oculus Quest development using the Godot game engine

(Part of) Chris Albon's Machine Learning with Python Cookbook in .ipynb form

TF2.0 / TensorFlow 2.0 / TensorFlow2.0 官方文档中文版