Starting kit for the NeurIPS 2023 unlearning challenge

essential libraries plus rust client

support for the "pancake" format in Spark

generated code for PancakeDB's API objects

Codebase for Learning Invariances in Neural Networks

higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.

Resource Management with Deep Reinforcement Learning (HotNets '16)

Private AI Bootcamp was hosted by Microsoft in Redmond, WA on Dec 2nd-4th, 2019. This repository contains materials offered at the event, including lecture slides, demo codes, etc.

PyTorch code to run synthetic experiments.

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

Code for "The Reversible Residual Network: Backpropagation Without Storing Activations"

Deep neural network kernel for Gaussian process

Neural relational inference for interacting systems - pytorch

Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

Telegram for Android source

Python package built to ease deep learning on graph, on top of existing DL frameworks.

newspaper3k is a news, full-text, and article metadata extraction in Python 3. Advanced docs:

Official implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow

Lots of metrics for quantifying gerrymandering.

An evolving how-to guide for securing a Linux server.

Scalable fuzzing infrastructure.

Mathematics of Deep Learning, Courant Insititute, Spring 19

OBS Studio - Free and open source software for live streaming and screen recording

The code for the cycle wasserstein regression generative adversarial network model for semi supervised bi-directional regression.

Data, Benchmarks, and methods submitted to the M4 forecasting competition

An information security preparedness tool to do adversarial simulation.

TensorFlow on Spark