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applied-deep-learning

In this course, we implemented models in computer vision and natural language processing as well as did exploratory data analysis on popular datasets.

artificialintelligence

computervision

evalai-starters

How to create a challenge on EvalAI?

imageprocessing

litgpt

Pretrain, finetune, deploy 20+ LLMs on your own data. Uses state-of-the-art techniques: flash attention, FSDP, 4-bit, LoRA, and more.

mnist-ocaml

MNIST-OCaml, a from-scratch neural network in OCaml, trained and evaluated on the MNIST dataset using Adam optimizer.

multimediasystems

napari-seedseg

A simple interactive segmentation plugin for napari.

peft-vit

Parameter Efficient Fine-tuning of Self-supervised ViTs without Catastrophic Forgetting

pinns

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

pinns-jax

PINNs-JAX, Physics-informed Neural Networks (PINNs) implemented in JAX.

pinns-tf2

PINNs-TF2, Physics-informed Neural Networks (PINNs) implemented in TensorFlow V2.

pinns-torch

PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.

project3-computervision

spotify-recommender

A Music Recommendation System Using the Famous Spotify Million Playlist Dataset

vizwiz-classification-dataset

VizWiz-Classification is a new test set for image classification task.