leejiajun's Stars
labuladong/fucking-algorithm
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
facebookresearch/detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
pytorch/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
lucidrains/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
TheAlgorithms/C
Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.
albumentations-team/albumentations
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
hoya012/deep_learning_object_detection
A paper list of object detection using deep learning.
arogozhnikov/einops
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
studyzy/imewlconverter
”深蓝词库转换“ 一款开源免费的输入法词库转换程序
jessevig/bertviz
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
kuangliu/pytorch-cifar
95.47% on CIFAR10 with PyTorch
LeiWang1999/FPGA
帮助大家进行FPGA的入门，分享FPGA相关的优秀文章，优秀项目
daquexian/onnx-simplifier
Simplify your onnx model
xialeiliu/Awesome-Incremental-Learning
Awesome Incremental Learning
mohuangrui/ucasthesis
LaTeX Thesis Template for the University of Chinese Academy of Sciences
facebookresearch/pycls
Codebase for Image Classification Research, written in PyTorch.
Efficient-ML/Awesome-Model-Quantization
A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.
GMvandeVen/continual-learning
PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.
tensor-compiler/taco
The Tensor Algebra Compiler (taco) computes sparse tensor expressions on CPUs and GPUs
pprp/SimpleCVReproduction
Replication of simple CV Projects including attention, classification, detection, keypoint detection, etc.
Alibaba-MIIL/ImageNet21K
Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(NeurIPS, 2021) paper
Vision-Intelligence-and-Robots-Group/Best-Incremental-Learning
An Incremental Learning, Continual Learning, and Life-Long Learning Repository
davidcpage/cifar10-fast
chawins/llm-sp
Papers and resources related to the security and privacy of LLMs 🤖
AlexanderParkin/ChaLearn_liveness_challenge
ChaLearn Face Anti-spoofing Attack Detection Challenge@CVPR2019
LeiWang1999/ZYNQ-NVDLA
NVDLA (An Opensource DL Accelerator Framework) implementation on FPGA.
GAIR-NLP/scaleeval
Scalable Meta-Evaluation of LLMs as Evaluators
99991/cifar10-fast-simple
Train CIFAR10 to 94% accuracy in a few minutes/seconds. Based on https://github.com/davidcpage/cifar10-fast
leejiajun/fdscs-pytorch