gxdai's repositories
Awesome-LLM
Awesome-LLM: a curated list of Large Language Model
Awesome-Multimodal-Large-Language-Models
:sparkles::sparkles:Latest Papers and Datasets on Multimodal Large Language Models, and Their Evaluation.
classifier-balancing
This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 2020
CVinW_Readings
A collection of papers on the topic of ``Computer Vision in the Wild (CVinW)''
CVPR2022-Papers-with-Code
CVPR 2022 论文和开源项目合集
darknet
Convolutional Neural Networks
detectron2
Detectron2 is FAIR's next-generation research platform for object detection and segmentation.
dla
Code for the CVPR Paper "Deep Layer Aggregation"
faster-rcnn.pytorch
A faster pytorch implementation of faster r-cnn
imgaug
Image augmentation for machine learning experiments.
kitti_object_vis
KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )
learning-spark
Example code from Learning Spark book
LeetCode-Solutions
:octocat: (Weekly Update) Python / C++11 Solutions of All 1331 LeetCode Problems
LLMsPracticalGuide
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
pycls
Codebase for Image Classification Research, written in PyTorch.
robin_stocks
This is a library to use with Robinhood Financial App. It currently supports trading crypto-currencies, options, and stocks. In addition, it can be used to get real time ticker information, assess the performance of your portfolio, and can also get tax documents, total dividends paid, and more. More info at
solt
Streaming over lightweight data transformations
sort
Simple, online, and realtime tracking of multiple objects in a video sequence.
surround_vehicles_awareness
Learn to map surrounding vehicles onto a bird's eye view of the scene.
Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
tinygbt
A Tiny, Pure Python implementation of Gradient Boosted Trees.
wrapt
A Python module for decorators, wrappers and monkey patching.