Stars
Reasoning in Large Language Models: Papers and Resources, including Chain-of-Thought, Instruction-Tuning and Multimodality.
A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".
A curated list of resources on implicit neural representations.
Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"
Relevant papers in Continual Learning
This dataset code generates mathematical question and answer pairs, from a range of question types at roughly school-level difficulty.
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet…
Multi-task Self-supervised Object Detection via Recycling of Bounding Box Annotations (CVPR, 2019)
🔊 Repository for our NAACL-HLT 2019 paper: AudioCaps
✂️ Repository for our ICLR 2019 paper: Discovery of Natural Language Concepts in Individual Units of CNNs
Pytorch Implementation of OpenAI's PixelCNN++
Memory Aware Synapses method implementation code
Lifelong/Continual Learning Paper List
Awesome Incremental Learning
Unofficial PyTorch implementation of DeepMind's PNAS 2017 paper "Overcoming Catastrophic Forgetting"
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
Generates a zip archive that is uploadable to arXiv.
A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
LPIPS metric. pip install lpips
Toward Multimodal Image-to-Image Translation
Collection of generative models in Tensorflow
🖼️ Attend to You: Personalized Image Captioning with Context Sequence Memory Networks. In CVPR, 2017. Expanded : Towards Personalized Image Captioning via Multimodal Memory Networks. In IEEE TPAMI,…
A starter agent that can solve a number of universe environments.
A list of recent papers regarding deep reinforcement learning