jinglescode / papersLinks
Summaries of machine learning papers
☆12Updated 3 years ago
Alternatives and similar repositories for papers
Users that are interested in papers are comparing it to the libraries listed below
Sorting:
- [PNAS'18] Recurrent computations for visual pattern completion: Classification of occluded images in humans and recurrent neural networks☆20Updated 7 years ago
- Contains Material for BCS Workshop conducted in January of 2022☆21Updated 3 years ago
- Image Search Engine with HuggingFace Sentence Transformer☆12Updated 2 years ago
- Tutorials on statistical model fitting (optimization, Bayesian inference) for Day 2 of BAMB! 2022.☆24Updated 3 years ago
- Basic guidance on how to contribute to Papers with Code☆24Updated 3 years ago
- Code for the anonymous submission "Cockpit: A Practical Debugging Tool for Training Deep Neural Networks"☆31Updated 4 years ago
- Visual Clustering: Clustering Plotted Data by Image Segmentation☆25Updated 8 months ago
- Simple script to re-rank images using OpenAI's CLIP https://github.com/openai/CLIP.☆16Updated 4 years ago
- Comparing four automatic image augmentation techniques in PyTorch: AutoAugment, RandAugment, AugMix, and TrivialAugment☆31Updated 2 years ago
- A Dockerised JupyterHub environment for Deep Learning with GPUs☆18Updated last year
- A JupyterLab extension for displaying dashboards of GPU usage.☆13Updated 2 years ago
- Implements MLP-Mixer (https://arxiv.org/abs/2105.01601) with the CIFAR-10 dataset.☆58Updated 3 years ago
- A curated resources on what's happening in multimodal learning. Features recent papers, books, related lectures, and other relevant resou…☆16Updated 2 years ago
- Making CNNs interpretable.☆19Updated 4 years ago
- Official PyTorch code for U-Noise: Learnable Noise Masks for Interpretable Image Segmentation (ICIP 2021)☆41Updated 4 years ago
- IBM Quantum Challenge Fall 2023☆10Updated 2 years ago
- Code examples for my Interpretable Machine Learning Blog Series☆57Updated 5 years ago
- Source code for <Large language models surpass human experts in predicting neuroscience results>☆82Updated 11 months ago
- ☆37Updated 3 years ago
- Experiments with self-supervised learning☆11Updated 5 years ago
- Accompanying code for "Analyzing Vision Tranformers in Class Embedding Space" (NeurIPS '23)☆14Updated last year
- Build fast gradio demos of fastai learners☆35Updated 4 years ago
- TensorFlow implementation of involution.☆13Updated 4 years ago
- "Not too complicated" training code for CIFAR-10 by PyTorch Lightning☆12Updated 3 years ago
- Library for the Test-based Calibration Error (TCE) metric to quantify the degree to classifier calibration.☆13Updated 2 years ago
- Python Tools for Visual Dataset Transformation☆28Updated last month
- deepmeg recurrent encoder☆25Updated 3 years ago
- Implementation of "Face detection in untrained deep neural networks" (Baek et al., Nature Communications, 2021)☆10Updated 4 years ago
- Fastai + PyTorch DDP in Jupyter Notebook☆27Updated 5 years ago
- This repository hosts code for converting the original Vision Transformer models (JAX) to TensorFlow.☆33Updated 3 years ago