7300 Open source projects that are alternatives of or similar to Tensorflow 101

Python Quick Reference

Lectures for INFO8010 - Deep Learning, ULiège

Python supercharged for the fastai library

Simple tutorials for building neural networks with TensorFlow Eager mode.

EasyTransfer is designed to make the development of transfer learning in NLP applications easier.

Scikit-learn tutorial at SciPy2016

🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

Federated Learning Library: https://fedml.ai

Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA

Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/

Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics

Solutions to all quiz and all the programming assignments!!!

Tutorials and information on the Julia language for MIT numerical-computation courses.

Sequential Model-based Algorithm Configuration

A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.

Fast Deep Learning Library (DLL) for C++ (ANNs, CNNs, RBMs, DBNs...)

A simple, minimal wrapper for tensorflow's seq2seq module, for experimenting with datasets rapidly

A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs

ai challenger 2018细粒度情感分类第一名解决方案, A training framework itegrating tensorflow and pytorch

Localize your cat at home with BLE beacon, ESP32s, and Machine Learning

deeplearning.ai , By Andrew Ng, All video link

Python implementation of KNN and DTW classification algorithm

Repository of notes, code and notebooks for the book Pattern Recognition and Machine Learning by Christopher Bishop

Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).

Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)

Visualization toolkit for neural networks in PyTorch! Demo -->

Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code

🤖 Exercise answers to the problem sets from the 2017 machine learning course cs229 by Andrew Ng at Stanford

PyBites Code Challenges

This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.

Financial data reader

This is the code for "Make Money with Tensorflow 2.0" by Siraj Raval

Mellotron: a multispeaker voice synthesis model based on Tacotron 2 GST that can make a voice emote and sing without emotive or singing training data

Jupyter notebooks for learning how to use SimpleITK

Build a bot that speaks like you!

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

OpenCV projects: Face Recognition, Machine Learning, Colormaps, Local Binary Patterns, Examples...

Message Passing Neural Networks for Molecule Property Prediction

A couple of simple GANs in Keras

Fast Example-based Image Synthesis and Style Transfer

Simple XLNet implementation with Pytorch Wrapper

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

My implementations of cs231n 2017

Deep Reinforcement Learning for Keras.

Code base for the Learning PySpark book (in preparation)

Pangeo website + discussion of general issues related to the project.

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

A few notebooks about deep learning in pytorch

Code for ICLR 2020 paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".

Real time emotion recognition

fast.ai early development experiments

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

A self driving toy car using end-to-end learning

Quantified Self Personal Data Aggregator and Data Analysis