unverciftci

bumblebee

🚕 A spreadsheet-like data preparation web app that works over Optimus (Pandas, Dask, cuDF, Dask-cuDF, Spark and Vaex)

XLM

PyTorch original implementation of Cross-lingual Language Model Pretraining.

mathematicalpython

Introduction to Mathematical Computing with Python and Jupyter

amazon-sagemaker-nvidia-ngc-examples

Examples showing use of NGC containers and models withing Amazon SageMaker

dl3d-seminar

Course webpage for COMP 790, (Deep) Learning from Limited Labeled Data

autodist

Simple Distributed Deep Learning on TensorFlow

robustness

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

tensor-house

A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.

Learning-Data-Distributions-with-Deep-Generative-Models

Using Normalizing Flows and VAEs to learn data distributions of datasets.

torchdyn

A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

AutoDL

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.

PyMesh

Geometry Processing Library for Python

wtfpython

What the f*ck Python? 😱

deepul

destructive-deep-learning

Destructive deep learning estimators and functions that are compatible with scikit-learn.

UMNN

Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for modelling monotonic transformations in normalizing flows.

autoregressive-energy-machines

Autoregressive Energy Machines

giotto-tda

A high-performance topological machine learning toolbox in Python

mldl-md-dynamics

A repository of update in molecular dynamics field by recent progress in machine learning and deep learning.

poet

Paired Open-Ended Trailblazer (POET) and Enhanced POET

gtfspy

Public transport network analysis using Python 🚊🚇🚃🚌🛳️🚡🚠🚞

gpio

Talk to your Single Board Computer's gpio pins

JASONETTE-iOS

📡 Native App over HTTP, on iOS

behavioral-cloning

Behavioral cloning: end-to-end learning for self-driving cars.

cu-perception-manipulation-stack

indigo-ros packages for perception, camera calibration, arm manipulation, and finger sensing for the Kinova-Jaco arm

Self-Driving-Car

Python implementations of the main components used to control autonomous, self-driving vehicles.

Cherry-Autonomous-Racecar

Implementation of the CNN from End to End Learning for Self-Driving Cars on a Nvidia Jetson TX1 using Tensorflow and ROS

ChosunTruck

Euro Truck Simulator 2 autonomous driving solution

KittiSeg

A Kitti Road Segmentation model implemented in tensorflow.

dynet

DyNet: The Dynamic Neural Network Toolkit