Philadelphia School of AI

DL-Libraries

An Introduction to State-of-the-Art Deep Learning Libraries/Frameworks

history

cybernetics, machine learning, modern deep learning

resources

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tensorflow

An Open Source Machine Learning Framework for Everyone

awesome-public-datasets

A topic-centric list of HQ open datasets. PR ☛☛☛

BERT-keras

Keras implementation of BERT with pre-trained weights

cython

The most widely used Python to C compiler

datasets-1

A collection of datasets of ML problem solving

DGC-Net

A PyTorch implementation of "DGC-Net: Dense Geometric Correspondence Network"

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

facets

Visualizations for machine learning datasets

fastai

The fastai deep learning library, plus lessons and tutorials

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

julia

The Julia Language: A fresh approach to technical computing.

jupyter

Jupyter metapackage for installation, docs and chat

kaggle

kaggle-api

Official Kaggle API

keras-applications

Reference implementations of popular deep learning models.

matplotlib

matplotlib: plotting with Python

numba

NumPy aware dynamic Python compiler using LLVM

opencv

Open Source Computer Vision Library

pandas_exercises

Practice your pandas skills!

Pillow

The friendly PIL fork (Python Imaging Library)

scikit-image

Image processing in Python

scipy

Scipy library main repository

SLM-Lab

Modular Deep Reinforcement Learning framework in PyTorch.

the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

Theano

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.

tpu

Reference models and tools for Cloud TPUs.

whitepapers