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Showing results

PyTorch Implementation of Momentum-Based Policy Gradient Methods

Python 8 2 Updated Aug 12, 2020

PyTorch Implementation of Bregman Gradient Policy Optimization (ICLR 2022).

Python 5 Updated Nov 27, 2022

Awesome LLM compression research papers and tools.

1,261 82 Updated Dec 16, 2024

Awesome LLM compression research papers and tools.

1 Updated Dec 10, 2024

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

Python 32,666 4,790 Updated Dec 19, 2024

Collection of common code that's shared among different research projects in FAIR computer vision team.

Python 2,049 229 Updated Nov 26, 2024

Official inference library for Mistral models

Jupyter Notebook 9,812 870 Updated Nov 12, 2024

The official Meta Llama 3 GitHub site

Python 27,567 3,145 Updated Aug 12, 2024

The Autograd Engine

HTML 544 51 Updated Sep 11, 2024

Tensor Network Library with Autograd

Jupyter Notebook 151 11 Updated Nov 5, 2024

This repository includes all codes implementation of a graduate-level optimization for machine learning course.

Jupyter Notebook 1 Updated Dec 9, 2023

Officially Accepted to IEEE Transactions on Medical Imaging (TMI, IF: 11.037) - Special Issue on Geometric Deep Learning in Medical Imaging.

MATLAB 184 42 Updated Apr 6, 2024

docker container for pixplot

JavaScript 6 3 Updated Mar 25, 2023

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…

Python 178 20 Updated May 1, 2024

A Visualization Tool for Image-based Machine Learning Projects - Great for object-detection and image classification projects

JavaScript 25 4 Updated Jan 13, 2023

llama3 implementation one matrix multiplication at a time

Jupyter Notebook 13,906 1,134 Updated May 23, 2024

MathVista: data, code, and evaluation for Mathematical Reasoning in Visual Contexts

Jupyter Notebook 257 39 Updated Nov 29, 2024

A smoother activation function (undergrad code)

Python 108 20 Updated Jun 23, 2020

Cleaned up code for reproducing our paper "The Quantization Model of Neural Scaling"

Jupyter Notebook 6 3 Updated Oct 28, 2023

LPIPS metric. pip install lpips

Python 3,735 502 Updated Jul 2, 2024

A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

Jupyter Notebook 1,415 131 Updated May 2, 2024

A WebGL viewer for UMAP or TSNE-clustered images

JavaScript 599 139 Updated Apr 15, 2023

A tiny autograd engine and a neural net library on top of it, potentially for educational purposes

Jupyter Notebook 3 Updated Apr 20, 2020

A deep dive into embeddings starting from fundamentals

Jupyter Notebook 979 78 Updated Nov 18, 2024

You like pytorch? You like micrograd? You love tinygrad! ❤️

Python 27,254 3,032 Updated Dec 21, 2024

Understanding Deep Learning - Simon J.D. Prince

Jupyter Notebook 6,705 1,394 Updated Dec 18, 2024

Learning for computational imaging system made simple.

Jupyter Notebook 60 14 Updated Nov 23, 2020
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