course.fast.ai Lesson 9: Deep Learning Foundations to Stable Diffusion, 2022

PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks

SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models

Representing Arbitrary-Precision Quantized Neural Networks

Sionna: An Open-Source Library for Next-Generation Physical Layer Research

PyTorch implementations of deep reinforcement learning algorithms and environments

Figures for paper on first cycle SEI growth on carbon black

Predicting battery lifetime. cs229 final project, Fall 2018

A simple cyclic voltammetry simulator, built as a MATLAB app. Based on Appendix B in Bard & Faulkner.

Models and examples built with TensorFlow

Google Brain AutoML

Persistent advantage learning dueling double DQN for the Arcade Learning Environment

[FPGA'21] CoDeNet is an efficient object detection model on PyTorch, with SOTA performance on VOC and COCO based on CenterNet and Co-Designed deformable convolution.

This repository contains implementations and illustrative code to accompany DeepMind publications

This solution presents an accessible, non-trivial example of machine learning (Deep learning) with financial time series using TensorFlow

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

A library for answering questions using data you cannot see

[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano

Adaptive feature selection using reinforcement learning

source code to ICLR'19, 'A Closer Look at Few-shot Classification'

Reference models and tools for Cloud TPUs.

A version of the SCTP NKE running on Mac OS X 10.11 (El Capitan)

Datasets, Transforms and Models specific to Computer Vision

[CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision