timqqt Goto Github PK

attention-sampling

This Python package enables the training and inference of deep learning models for very large data, such as megapixel images, using attention-sampling

attentiondeepmil

Implementation of Attention-based Deep Multiple Instance Learning in PyTorch

biolearn

The framework for spiking neural network.

bme503-neuroengineering

This is the repository for my homework of BME503

cbb520_sequence_alignment

chatgpt-for-fintech

ChatGPT for FinTech 🔥

child-healthcare-demo

data-plut-task

fair_text_based_image_retrieval

finrl-library

A Deep Reinforcement Learning Library for Automated Trading in Quantitative Finance. NeurIPS 2020. Please star. 🔥

gender-in-image-search

Data and analysis of unequal representation and gender stereotypes in image search results for occupations

gradient-checkpointing

Make huge neural nets fit in memory

idlm_pytorch

The Pytorch version for the inverse deep learning meta material project

kdd_2023_paper125-

markup

Determines which markup library to use to render a content file (e.g. README) on GitHub

mera_image_classification

MERA tensor network for tiny object image classification

mypy

Optional static typing for Python

mywebsite

This is a project about my personal website!

needles-in-haystacks

Needles in Haystacks: On Classifying Tiny Objects in Large Images

operating-system

prelim_documents

pthreads

Fixed Bugs in a program deomstrating use of pthreads and use of mutex

python_basic

Examples about some crawlers programs

pytorch-zoom-in-network

Source code for "Efficient Classification of Very Large Images with Tiny Objects"

relogic

Code for Findings of ACL 2021 paper: Logic-Consistency Text Generation from Semantic Parses

repdistiller

[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

segnet-tensorflow

spring2019ece590hineman

Repository for course materials for ECE 590 Scalable Reinforcement Learning

syntheticmass

synthinel

Repository for Synthinel dataset. It is presented in WACV 2020