linzhiqiu Goto Github PK

16-811

Math Fundamentals for Robotics - CMU

avalanche

Avalanche: an End-to-End Library for Continual Learning.

build-web-application-with-golang

A golang ebook intro how to build a web with golang

clear-benchmark-new.github.io

clear-benchmark.github.io

clear-challenge

cmu-vision.github.io

continual-learning

convex_adversarial

A method for training neural networks that are provably robust to adversarial attacks.

cross_modal_adaptation

Cross-modal few-shot adaptation with CLIP

cs-180

UCLA CS 180

debiased-pseudo-labeling

[CVPR 2022] Debiased Learning from Naturally Imbalanced Pseudo-Labels

digital_chirality

Testing the chirality of digital imaging operations.

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

grad-cam-pytorch

PyTorch implementation of Grad-CAM

graphviz-sty

graphviz.sty - A library for using GraphViz dot files in LaTeX

hrnet-semantic-segmentation

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

html4vision

A simple HTML visualization tool for computer vision research :hammer_and_wrench:

latex-homework-template

🎓📄 The LaTeX file that I use as the base for all my homeworks in university.

leco

Learning with Ever-Changing Ontology

linzhiqiu-old.github.io

linzhiqiu.github.io

Zhiqiu Lin's site

llava

[NeurIPS 2023 Oral] Visual Instruction Tuning: LLaVA (Large Language-and-Vision Assistant) built towards GPT-4V level capabilities.

llm-can-optimize-vlm.github.io

math-fundamentals-for-robotics-cmu-16811

mmselfsup

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

mobilenet-caffe

Caffe Implementation of Google's MobileNets (v1 and v2)

models

Models and examples built with TensorFlow

modern-resume-theme

A modern static resume template and theme. Powered by Jekyll and GitHub pages.