ruihuili

parallel-prompt-decoding

Efficient LLM Inference Acceleration using Prompting

metakernelgan

[WACV 2024] Meta-Learned Kernel For Blind Super-Resolution Kernel Estimation

BayesNN_FPGA

FPGA-based hardware acceleration for dropout-based Bayesian Neural Networks.

Sparse-Multi-DNN-Scheduling

Open-source artifacts and codes of our MICRO'23 paper titled “Sparse-DySta: Sparsity-Aware Dynamic and Static Scheduling for Sparse Multi-DNN Workloads”.

Butterfly_Acc

The codes and artifacts associated with our MICRO'22 paper titled: "Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design"

meta-omnium

Implementation of "Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn"

sdfstudio

A Unified Framework for Surface Reconstruction

PaperArxiv

This is an Uncertainty Study Arxiv

WinogradAwareNets

Official implementation of "Searching for Winograd-aware Quantized Networks" (MLSys'20)

nerfstudio

A collaboration friendly studio for NeRFs

pyworkers

Abstraction over threading, multiprocessing and TCP-based RPC

evograd

Official PyTorch implementation of "EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization"

citation_explorer

Interactive Widget for Exploring Citations of Academic Papers

MetaCC

A benchmarking framework for meta-learning using the channel coding tasks

imaml_dev

Repo to accompany paper on Meta Learning with Implicit Gradients (NeurIPS 2019)

eagle

Measuring and predicting on-device metrics (latency, power, etc.) of machine learning models

svcca

pytorch-maml

PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400

leo

Implementation of Meta-Learning with Latent Embedding Optimization

MMAML-Classification

An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio*, Shao-Hua Sun*, Hexiang Hu, and Joseph J. Lim

autograd-hacks

opacus

Training PyTorch models with differential privacy

fucking-algorithm

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

turboae

Code for "Turbo Autoencoder: Deep learning based channel code for point-to-point communication channels" NeurIPS 2019

variational-autoencoder

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

jemoji

GitHub-flavored emoji plugin for Jekyll

mic_array

DOA, VAD and KWS for ReSpeaker Microphone Array

dronecontrol

An alexa skill to control a parrot minidrone over voice.

Morpho-MNIST

Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning (http://jmlr.org/papers/v20/19-033.html)

handson-ml

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.