Stars
TopoLM: brain-like spatio-functional organization in a topographic language model
Scaling Laws for Task-Optimized Models of the Primate Visual Ventral Stream
Modeling cortical visual topography with interactive topographic network (ITN) models
Omnivore: A Single Model for Many Visual Modalities
Evaluate computational models on their alignment to behavioral and neural measurements in the domain of language
Techniques to reduce the numer of supervised synaptic updates (number of epochs x number of images x weights)) needed to train a artificial model of the brain,CORnet-S architecture.
Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(NeurIPS, 2021) paper
Scenic: A Jax Library for Computer Vision Research and Beyond
Single Headed Attention RNN - "Stop thinking with your head"
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Turn Python scripts into handouts with Markdown and figures
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
Code for "Learning Perceptually-Aligned Representations via Adversarial Robustness"
NASBench: A Neural Architecture Search Dataset and Benchmark
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
Code for Task representations in neural networks trained to perform many cognitive tasks
contribute stimuli or data to BrainIO
TensorFlow code and pre-trained models for BERT
High Fidelity Simulator for Reinforcement Learning and Robotics Research.
[NeurIPS'19 Oral] CORnet: Modeling the Neural Mechanisms of Core Object Recognition
Tensors and Dynamic neural networks in Python with strong GPU acceleration
A framework for evaluating models on their alignment to brain and behavioral measurements (100+ benchmarks)
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.