6400 Open source projects that are alternatives of or similar to Fastai

The fastai book, published as Jupyter Notebooks

Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts

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

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.

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

Notebooks for Fastai Viusal Guide

AIOpen是一个按人工智能三要素（数据、算法、算力）进行AI开源项目分类的汇集项目，项目致力于跟踪目前人工智能（AI）的深度学习（DL）开源项目，并尽可能地罗列目前的开源项目，同时加入了一些曾经研究过的代码。通过这些开源项目，使初次接触AI的人们对人工智能（深度学习）有更清晰和更全面的了解。

A Deep Learning based project for creating line art portraits.

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

Kaggle Data Science Bowl 2018

Auxiliary Classifier Generative Adversarial Networks in Keras

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.

kmeans using PyTorch

Python code for "Machine learning: a probabilistic perspective" (2nd edition)

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

Comparison tools

jupyter/ipython experiment containers for GPU and general RAM re-use

Create delightful python projects using Jupyter Notebooks

The 3rd edition of course.fast.ai

A community run, 5-day PyTorch Deep Learning Bootcamp

PyTorch tutorials A to Z

A real time optical flow algorithm implemented on GPU

GPU accelerated cross filtering with cuDF.

A collection of infrastructure and tools for research in neural network interpretability.

An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.

Memory efficient MAML using gradient checkpointing

Fast and flexible AutoML with learning guarantees.

An easy to use blogging platform, with enhanced support for Jupyter Notebooks.

Grokking Deep Reinforcement Learning

Train a state-of-the-art yolov3 object detector from scratch!

Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.

A machine learning library for detecting anomalies in signals.

A one-stop repository for low-code easily-installable object detection pipelines.

Data and analysis for 'Machine Bias'

D2-Net: A Trainable CNN for Joint Description and Detection of Local Features

Swift for TensorFlow's high-level API, modeled after fastai

Tigramite is a time series analysis python module for causal discovery. The Tigramite documentation is at

Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"

Financial Sentiment Analysis with BERT

Notebook to download machine learning flashcards

Reference models and tools for Cloud TPUs.

書籍「つくりながら学ぶ! PyTorchによる発展ディープラーニング」の実装コードを配置したリポジトリです

PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400

Pandas Cookbook, published by Packt

Sequence prediction using recurrent neural networks(LSTM) with TensorFlow

Text and supporting code for Modeling and Simulation in Python

利用Python进行数据分析 第二版 (2017) 中文翻译笔记

Differentiable, Hardware Accelerated, Molecular Dynamics

PyTorch로 시작하는 딥러닝 입문 CAMP (2017.7~2017.12) 강의자료

Curso de Introducción a Machine Learning con Python

Use Tensorflow to run CNN for predict stock movement. Hope to find out which pattern will follow the price rising.

A straightforward GPU implementation of Jos Stam's "Stable Fluids" on Unity.

Learning to trade under the reinforcement learning framework

A blazing fast matrix library for Elixir/Erlang with C implementation using CBLAS.

Open3D: A Modern Library for 3D Data Processing

Please use fastbook's /clean folder instead of this

Attempting to replicate "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem" https://arxiv.org/abs/1706.10059 (and an openai gym environment)

Code for the TCAV ML interpretability project