Tensorflow implementation of "Learning Deep Features for Discriminative Localization"
B. Zhou, A. Khosla, A. Lapedriza, A. Oliva, and A. Torralba Learning Deep Features for Discriminative Localization. Computer Vision and Pattern Recognition (CVPR), 2016. [PDF][Project Page]
Object localization using only image-level annotation, without bounding box annotation.
Non-AR Spatial-Temporal Transformer Introduction Implementation of the paper NAST: Non-Autoregressive Spatial-Temporal Transformer for Time Series For
Semi Hand-Object Semi-Supervised 3D Hand-Object Poses Estimation with Interactions in Time (CVPR 2021).
Chicken Story tl;dr: The time when Microsoft banned my entire country for cheating at Club Bing. (A lot of the details are from memory so I've recreat
RAVE: Realtime Audio Variational autoEncoder Official implementation of RAVE: A variational autoencoder for fast and high-quality neural audio synthes
Phonon-Vibration-Viewer (For GPUMD) Visualizing lattice vibration information from phonon dispersion for primitive atoms. In this tutorial, we will in
MPRNet-Cloud-removal Progressive cloud removal Requirements 1.Pytorch = 1.0 2.Python 3 3.NVIDIA GPU + CUDA 9.0 4.Tensorboard Installation 1.Clone the
The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models Codes for this paper The Lottery Tickets Hypo
Strongly local p-norm-cut algorithms for semi-supervised learning and local graph clustering
OpenAI's CLIP — REST API This is a container wrapping OpenAI's CLIP model in a RESTful interface. Running the container locally First, build the conta
TorchX is a library containing standard DSLs for authoring and running PyTorch related components for an E2E production ML pipeline
Winning Solution for xView3 Challenge This repository contains source code and pretrained models for my (Eugene Khvedchenya) solution to xView 3 Chall
NMC PyTorch implementation for paper Neural Marching Cubes, Zhiqin Chen, Hao Zhang. Paper | Supplementary Material (to be updated) Citation If you fin
ruDALL-E Generate images from texts pip install rudalle==1.1.0rc0 🤗 HF Models: ruDALL-E Malevich (XL) ruDALL-E Emojich (XL) (readme here) ruDALL-E S
In a nutshell River is a Python library for online machine learning. It is the result of a merger between creme and scikit-multiflow. River's ambition
Spiking Neural Network training with EventProp This is an unofficial PyTorch implemenation of EventProp, a method to compute exact gradients for Spiki
Pose with Style: Detail-Preserving Pose-Guided Image Synthesis with Conditional StyleGAN [Paper] [Project Website] [Output resutls] Official Pytorch i
Deep Learning (with PyTorch) This notebook repository now has a companion website, where all the course material can be found in video and textual for
Information-Theoretic Multi-Objective Bayesian Optimization with Continuous Approximations Requirements The code is implemented in Python and requires
Description This library provides an abstraction to perform Model Versioning using Weight & Biases. Features Version a new trained model Promote a mod
I-BERT: Integer-only BERT Quantization HuggingFace Implementation I-BERT is also available in the master branch of HuggingFace! Visit the following li
66 Nov 28, 2022
96 Dec 27, 2022
142 May 16, 2022
587 Jan 01, 2023
6 Dec 10, 2022
95 Dec 18, 2022
59 Dec 28, 2022
2 Jul 19, 2022
48 Nov 06, 2022
193 Dec 22, 2022
51 Dec 30, 2022
109 Dec 27, 2022
1.6k Dec 31, 2022
4k Jan 02, 2023
35 Jul 29, 2022
215 Dec 17, 2022
6.2k Jan 07, 2023
1 Nov 03, 2021
2 Jan 28, 2022
139 Dec 27, 2022