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module-3

Module 3 - Efficiency

nn-by-numpy

cnn

parallel-computing-project

Parallel algorithms (quick-sort, merge-sort , enumeration-sort) implemented by p-threads and CUDA

pix2video.pytorch

Implementation of the paper "Pix2Video: Video Editing using Image Diffusion"

pvdm

Official PyTorch implementation of Video Probabilistic Diffusion Models in Projected Latent Space (CVPR 2023).

pycil

PyCIL: A Python Toolbox for Class-Incremental Learning

pytorch-distributed

A quickstart and benchmark for pytorch distributed training.

pytorch-multi-gpu-training-tutorial

restricted-boltzmann-machine-for-autoencoder

reproduce and expansion: Hinton, Geoffrey E., and Ruslan R. Salakhutdinov. "Reducing the dimensionality of data with neural networks." science 313.5786 (2006): 504-507.

s-prompts

To promote S-Prompts.

t2i-humanfeedback

Implementations of Baseline Methods for Aligning Text2Img Diffusion Models with Human FeedBack

tianshou

An elegant PyTorch deep reinforcement learning platform.

trl

Train transformer language models with reinforcement learning.

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

yaoyao-liu.github.io

My homepage's source code

yolov5

YOLOv5 in PyTorch > ONNX > CoreML > TFLite