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100-days-of-ml-code

100 Days of ML Coding

2s-agcn

Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition in CVPR19

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

awesomegaitrecognition

A collection of AWESOME things about Gait Recognition

c3dpo_nrsfm

C3DPO - Canonical 3D Pose Networks for Non-rigid Structure From Motion.

casia-b-gaitanalysis

One of the most significant human characteristics is motion ability, which includes gait as the foundation of human transitional movement. Many academics had concentrated on this topic in order to consider a novel recognition system. Many human gait datasets have been developed in the previous ten years. The Gait Dataset of the University of South Florida (USF), the Gait Dataset of the Chinese Academy of Sciences (CASIA), and the Gait Dataset of Southampton University (SOTON) are some of the most extensively utilised datasets. The CASIA Gait Dataset will be examined in this research to determine its properties.Gait patterns were gathered in this investigation utilising a wireless platform with two sensors attached to the individuals’ chest and right ankle. The raw data was then subjected to certain preprocessing techniques.The performance of many temporal and frequency domain features is evaluated using five different classifiers, and a full comparison is made in this work.

coding

Sample codes for practice

cvplayer

The best and easiest way to visualize your computer vision models inferences.

datasciencecoursera

Datascience Forked repository

datasharing

The Leek group guide to data sharing

deep-learning-keras-tensorflow

Introduction to Deep Neural Networks with Keras and Tensorflow

evoskeleton

Official project website for the CVPR 2020 paper (Oral Presentation) "Cascaded deep monocular 3D human pose estimation wth evolutionary training data"

few-shot-learning

Repository for few-shot learning machine learning projects

gaitgraph

Official repository for GaitGraph: Graph Convolutional Network for Skeleton-Based Gait Recognition

gan

Demostrate generative adversarial networks (GAN) technology in generating anddescriminate time-sequence, using Tensorflow to implement

gans-learning

Documenting the GAN Learnning

gnn

TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.

graph_convolutional_lstm

Traffic Graph Convolutional Recurrent Neural Network

hpgan

This repository implement the code behind HP-GAN paper (https://arxiv.org/abs/1711.09561).

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

keras-dcgan

Keras implementation of Deep Convolutional Generative Adversarial Networks

lifting-from-the-deep-release

Implementation of "Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image"

lstm-matlab

lstm-oreilly

How to build a Multilayered LSTM Network to infer Stock Market sentiment from social conversation using TensorFlow.

ml-course-notes

🎓 Sharing course notes on all topics related to machine learning, NLP, and AI.

modern-python-cookbook-second-edition

Modern-Python-Cookbook-Second-Edition, published by Packt

movenet

A library for transfer learning by reusing parts of TensorFlow models.

openni

OpenNI

opensim-marker-place-toolbox

opensim-moco

Solve optimal control problems for musculoskeletal models using OpenSim and direct collocation.