mia1874

state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

Spiking-Neural-Network

Pure python implementation of SNN

Adan

Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models

Entity

EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation

qkeras

QKeras: a quantization deep learning library for Tensorflow Keras

DVC

DVC: An End-to-end Deep Video Compression Framework, CVPR 2019 (Oral)

PyTorchVideoCompression

PyTorch implementation and benchmark of Video Compression

NeRV

Official Pytorch implementation for video neural representation (NeRV)

Latex-Beamer-Template

中文学术LaTeX Beamer模板

flow

Keras implement of flow-based models

PhyDNet

Code for our CVPR 2020 paper "Disentangling Physical Dynamics from Unknown Factors for UnsupervisedVideo Prediction"

tensorflow-infogan

:dolls: InfoGAN: Interpretable Representation Learning

CBAM-tensorflow

CBAM implementation on TensowFlow

coin

Pytorch implementation of COIN, a framework for compression with implicit neural representations 🌸

cooper

A general-purpose, deep learning-first library for constrained optimization in PyTorch

integer_discrete_flows

Code release for Hoogeboom, Emiel, Jorn WT Peters, Rianne van den Berg, and Max Welling. "Integer Discrete Flows and Lossless Compression." Conference on Neural Information Processing Systems (2019).

DeepST

Reconstruction of DeepST

reformers

Efficient Transformers for research, PyTorch and Tensorflow using Locality Sensitive Hashing

coinpp

Pytorch implementation of COIN++ 🍁

LISTA-CPSS

[NeurIPS'18, Spotlight oral] "Theoretical Linear Convergence of Unfolded ISTA and its Practical Weights and Thresholds", by Xiaohan Chen*, Jialin Liu*, Zhangyang Wang and Wotao Yin.

Complex-gated-recurrent-neural-networks

Complex domain recurrent neural network gating and Stiefel-manifold optimization in TensorFlow, Neural Information Processing Systems (NeurIPS) 2018.

perceptual-quality

Perceptual quality metrics for TensorFlow

Neural-Implicit-Dict

[ICML 2022] "Neural Implicit Dictionary via Mixture-of-Expert Training" by Peihao Wang, Zhiwen Fan, Tianlong Chen, Zhangyang Wang

LDMIC

🏠[ICLR 2023] LDMIC: Learning-based Distributed Multi-view Image Coding

Keras-HSIC-Bottleneck

The Keras Implementation of the paper "The HSIC Bottleneck: Deep Learning without Back-Propagation"(https://arxiv.org/abs/1908.01580)

Variational_Sparse_Coding

This repository contains codes and examples implementing the variational sparse coding model

l0onie

Official implementation for the paper L0onie: Compressing COINs with L0-constraints.

nonstationary-time-aware-kernelized-attention

Simple_Joint_VAE

Implementation of JointVAE with one discrete latent variable (Original Version: https://github.com/Schlumberger/joint-vae by Emilien Dupont)

bobby-he.github.io