LLM KV cache compression made easy

A Python implementation of global optimization with gaussian processes.

UCLA CS 180

Provable adversarial robustness at ImageNet scale

All files for research proposal and bachelor thesis on Quantum Machine Learning at the University of KwaZulu-Natal in Durban, South Africa.

A library for easy and efficient manipulation of tensor networks.

Differentiable, Hardware Accelerated, Molecular Dynamics

Code for "Learning data-driven discretizations for partial differential equations"

Code for Implicit Generation and Generalization with Energy Based Models

A method for training neural networks that are provably robust to adversarial attacks.

Reference implementations for RecurJac, CROWN, FastLin and FastLip (Neural Network verification and robustness certification algorithms) [Do not use this repo, use https://github.com/Verified-Intel…

Implementations of the algorithms described in Differentiable plasticity: training plastic networks with gradient descent, a research paper from Uber AI Labs.

FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks

An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at …

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

A toolkit for developing and comparing reinforcement learning algorithms.

Reinforcement learning resources curated

An Open Source Machine Learning Framework for Everyone

Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans

A web app for analyzing, indexing, and allowing searching within a video using machine leaning

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

🎮 a Unity3D local multiplayer game made for MLH LocalHackDay