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Official implementation of "SViT: Revisiting Token Pruning for Object Detection and Instance Segmentation"
PyTorch Implementation of Momentum-Based Policy Gradient Methods
PyTorch Implementation of Bregman Gradient Policy Optimization (ICLR 2022).
Awesome LLM compression research papers and tools.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Collection of common code that's shared among different research projects in FAIR computer vision team.
Official inference library for Mistral models
Tensor Network Library with Autograd
This repository includes all codes implementation of a graduate-level optimization for machine learning course.
Officially Accepted to IEEE Transactions on Medical Imaging (TMI, IF: 11.037) - Special Issue on Geometric Deep Learning in Medical Imaging.
docker container for pixplot
A lightweight library designed to accelerate the process of training PyTorch models by providing a minimal, but extensible training loop which is flexible enough to handle the majority of use cases…
A Visualization Tool for Image-based Machine Learning Projects - Great for object-detection and image classification projects
llama3 implementation one matrix multiplication at a time
MathVista: data, code, and evaluation for Mathematical Reasoning in Visual Contexts
A smoother activation function (undergrad code)
Cleaned up code for reproducing our paper "The Quantization Model of Neural Scaling"
LPIPS metric. pip install lpips
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
A WebGL viewer for UMAP or TSNE-clustered images
A deep dive into embeddings starting from fundamentals
You like pytorch? You like micrograd? You love tinygrad! ❤️
Understanding Deep Learning - Simon J.D. Prince
Learning for computational imaging system made simple.