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_Ouya's Projects

firefly icon firefly

Firefly: 大模型训练工具,支持训练Gemma、MiniCPM、Yi、Deepseek、Orion、Xverse、Mixtral-8x7B、Zephyr、Mistral、Baichuan2、Llma2、Llama、Qwen、Baichuan、ChatGLM2、InternLM、Ziya2、Vicuna、Bloom等大模型

forward-warp icon forward-warp

An optical flow forward warp's lib with backpropagation using pytorch.

fred icon fred

FRED simulator and associated paper

freeanchor icon freeanchor

FreeAnchor: Learning to Match Anchors for Visual Object Detection (NeurIPS 2019)

ganhacks icon ganhacks

starter from "How to Train a GAN?" at NIPS2016

gmflow icon gmflow

[CVPR 2022 Oral] GMFlow: Learning Optical Flow via Global Matching

gms-feature-matcher icon gms-feature-matcher

C++ code for "GMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence"

goturn icon goturn

Source code for paper: Learning to Track at 100 FPS with Deep Regression Networks, Held, et al. ECCV 2016

hoag icon hoag

Hyperparameter optimization with approximate gradient

hrnet-facial-landmark-detection icon hrnet-facial-landmark-detection

This is an official implementation of facial landmark detection for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

icdar2019_ctdar icon icdar2019_ctdar

The ICDAR 2019 cTDaR is to evaluate the performance of methods for table detection (TRACK A) and table recognition (TRACK B). For the first track, document images containing one or several tables are provided. For TRACK B two subtracks exist: the first subtrack (B.1) provides the table region. Thus, only the table structure recognition must be performed. The second subtrack (B.2) provides no a-priori information. This means, the table region and table structure detection has to be done.

ihog icon ihog

Visualizing Object Detection Features. ICCV 2013

imgdupes icon imgdupes

Finding and deleting near-duplicate images based on perceptual hash.

incepttext-tensorflow icon incepttext-tensorflow

An Implementation of the alogrithm in paper IncepText: A New Inception-Text Module with Deformable PSROI Pooling for Multi-Oriented Scene Text Detection

kalman-and-bayesian-filters-in-python icon kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

kcfdp icon kcfdp

"Kernelized Correlation Filter with Detection Proposal" presented in "Enable Scale and Aspect Ratio Adaptability in Visual Tracking with Detection Proposals", BMVC, 2015.

keras icon keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano and TensorFlow.

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