Learning software development
Code for AAAI2021 paper "Class-Incremental Instance Segmentation via Multi-Teacher Networks"
Initial framework source code for CSE240A branch predictor project
Implementation of Segformer, Attention + MLP neural network for segmentation, in Pytorch
Enabling PyTorch on Google TPU
PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
DRL with DQN PER Dueling for implementation of Atari Game Breakout
Continual / incremental / lifelong learning methods implemented by PyTorch. Especially the methods based on memory replay.
Awesome Incremental Learning
百度网盘客户端 - Go语言编写
Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.
Deepfakes Software For All
Implementations from the free course Deep Reinforcement Learning with Tensorflow
Detectron2 is FAIR's next-generation research platform for object detection and segmentation.
DeepLab v3+ model in PyTorch. Support different backbones.
Code for <Confidence Regularized Self-Training> in ICCV19 (Oral)
PyTorch implementations of Generative Adversarial Networks.
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
AI education materials for Chinese students, teachers and IT professionals.
This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks" by Jonathan Frankle and Michael Carbin that can be easily adapted to any model/dataset.