Franco's starred repositories

supervision

We write your reusable computer vision tools. πŸ’œ

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llama3-from-scratch

llama3 implementation one matrix multiplication at a time

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latent-diffusion

High-Resolution Image Synthesis with Latent Diffusion Models

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Awesome-Diffusion-Models

A collection of resources and papers on Diffusion Models

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Depth-Anything

[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

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aim

Aim πŸ’« β€” An easy-to-use & supercharged open-source experiment tracker.

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awesome-RLHF

A curated list of reinforcement learning with human feedback resources (continually updated)

Tensor-Puzzles

Solve puzzles. Improve your pytorch.

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torch-points3d

Pytorch framework for doing deep learning on point clouds.

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omegaconf

Flexible Python configuration system. The last one you will ever need.

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awesome-segment-anything

Tracking and collecting papers/projects/others related to Segment Anything.

awesome-detection-transformer

Collect some papers about transformer for detection and segmentation. Awesome Detection Transformer for Computer Vision (CV)

simple_tensorflow_serving

Generic and easy-to-use serving service for machine learning models

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FCGF

Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.

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nucleotide-transformer

🧬 Nucleotide Transformer: Building and Evaluating Robust Foundation Models for Human Genomics

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enformer-pytorch

Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch

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diffusion_reading_group

Diffusion Reading Group at EleutherAI

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unet-gan-matting

Background Removal based on U-Net

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awesome-llm-human-preference-datasets

A curated list of Human Preference Datasets for LLM fine-tuning, RLHF, and eval.

License:MITStargazers:282Issues:7Issues:0

HRViT

HRViT ("Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation"), CVPR 2022.

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transformers

Everything you need to know about Transformers! πŸ€–

Full-Segment-Anything

This is Pytorch Implementation Code for adding new features in code of Segment-Anything. Here, the features support batch-input on the full-grid prompt (automatic mask generation) with post-processing: removing duplicated or small regions and holes, under flexible input image size

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mxfold2

MXfold2: RNA secondary structure prediction using deep learning with thermodynamic integration

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awesome-image-inpainting-studies

A collection of awesome image inpainting studies.

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kaggle-hubmap

Kaggle HuBMAP 1st Place Solution

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buggy-resizing-critique

A criticism of a recent paper on buggy image downsampling methods in popular image processing and deep learning libraries.

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SynthText-Japanese

Code for generating synthetic Japanese text images as described in "Synthetic Data for Text Localisation in Natural Images", Ankush Gupta, Andrea Vedaldi, Andrew Zisserman, CVPR 2016.

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nano-BERT

Nano-BERT is a straightforward, lightweight and comprehensible custom implementation of BERT, inspired by the foundational "Attention is All You Need" paper. The primary objective of this project is to distill the essence of transformers by simplifying the complexities and unnecessary details.

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laion-image-viewer

Web interface for querying the LAION-5B dataset using CLIP embeddings.

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PytorchLightningSnippet

Pytorch Lightning Snippets

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