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faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

featureengineering

Feature Engineering for Machine Learning, Soledad Galli

from-0-to-research-scientist-resources-guide

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

from-scratch

I make this repository to store every coding that implemented from scratch. I try my best to write this source code in a simple style.

graph_nets

PyTorch Implementation and Explanation of Graph Representation Learning papers involving DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

image-captioning-with-adaptive-attention

PyTorch implementation of image captioning with adaptive attention mechanism.

imagegenerationdemo

This is the demo for image generation using Lib Diffusers of the HuggingFace

learntopayattention

PyTorch implementation of ICLR 2018 paper Learn To Pay Attention (and some modification)

leetcode-share

This repository shares my leetcode problems solving experience.

mathematical-methods-in-deep-learning-ipython

Python code (in the form of Jupyter ipython notebooks) to support the book "Math and Architectures of Deep Learning" (Krishnendu Chaudhury with Ananya Ashok, Sujay Narumanchi, Devashish Shankar).

meshed-memory-transformer

M²: Meshed-Memory Transformer for Image Captioning

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.

natural-language-processing-and-speech

I have been reading the book "Natural Language Processing and Speech Recognition" by Daniel Jurafsky and James H. Martin. I am trying to implement the book' theory.

owiarmrobot

OWI Robot Arm controlling using a PC keyboard

prml

PRML algorithms implemented in Python

pyaudioanalysis

Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications

pygame_welcome_screen_by_socket

pyprobml

Python code for "Machine learning: a probabilistic perspective" (2nd edition)

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

pytorch-cyclegan-and-pix2pix

Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)

pytorch-examples

Simple examples to introduce PyTorch

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

pytorchzerotoall

Simple PyTorch Tutorials Zero to ALL!

resnest

ResNeSt: Split-Attention Network

resnet50

I build a class to extract 14x14 regions using resnet50

restapi

I want to deply a simple restapi

self-critical.pytorch

Unofficial pytorch implementation for Self-critical Sequence Training for Image Captioning. and others.

sincnet

SincNet is a neural architecture for efficiently processing raw audio samples.

speaker_recognition_gmm_ubm

A speaker recognition system which uses GMM-UBM for use in an Android application which helps in monitoring patients suffering from Schizophrenia.

specaugment

A Implementation of SpecAugment with Tensorflow, introduced by Google Brain