ttker

YOLO-World

[CVPR 2024] Real-Time Open-Vocabulary Object Detection

lion-tf

Lion - EvoLved Sign Momentum w/ New Optimizer API in TensorFlow 2.11+

video2x

A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR. Started in Hack the Valley II, 2018.

pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

gaussian-splatting-Windows

3D Gaussian Splatting for Real-Time Radiance Field Rendering - Detailed Windows Install & Usage Instructions

Deep-Learning-for-Tracking-and-Detection

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

BoT-SORT

BoT-SORT: Robust Associations Multi-Pedestrian Tracking

audiocraft

Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.

senet.pytorch

PyTorch implementation of SENet

Cooking-Activity-Recognition-

The difficulty of identifying a body's behavior based on sensor data, such as an accelerometer in a smartphone, is known as activity recognition. It's among the most widely studied topics in the field of machine learning-based classification. Cooking Activity Recognition Challenge (CARC) asked participants to recognize food preparation using motion capture and acceleration sensors. Two smartphones, two wristbands, and motion-capturing equipment were used to collect three-axis (x, y, z) acceleration data and motion data for the CARC dataset. One of the most challenging difficulties to solve in this investigation was identifying complicated tasks as smaller activities that are part of larger activities. Using a Convolutional Neural Network (CNN) and a Bidirectional LSTM, we’ve built a deep learning approach that extracts dynamical data for macro and micro activity identification. The model we proposed for that kind of dataset has a classification accuracy of 83% for macro activity and 85.3% for micro activity, respectively.

driving_behaviour_classification

LSTM for driving behaviour classification

rnn-from-scratch

Implementing Recurrent Neural Network from Scratch

torch-rnn

Efficient, reusable RNNs and LSTMs for torch

lstm

Minimal, clean example of lstm neural network training in python, for learning purposes.

Tensorflow-Programs-and-Tutorials

Implementations of CNNs, RNNs, GANs, etc

rnn-tutorial-gru-lstm

Language Model GRU with Python and Theano

must-read-papers-for-ml

Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer

Airplane_Trajectory_Classification_RNN

A RNN neural network for classification of timeseries with coordinates and altitude of airplanes, using TensorFlow.

Video-Classifier-Using-CNN-and-RNN

sEMG_Classification

A RNN Classification of various leg movements using different lower limb muscle sEMG data.

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

VAME

Variational Animal Motion Embedding - A tool for time series embedding and clustering

DeepPoseKit

a toolkit for pose estimation using deep learning

LSTM_RNN_Tutorials_with_Demo

LSTM-RNN Tutorial with LSTM and RNN Tutorial with Demo with Demo Projects such as Stock/Bitcoin Time Series Prediction, Sentiment Analysis, Music Generation using Keras-Tensorflow

CenterTrack

Simultaneous object detection and tracking using center points.

OpenSfM

Open source Structure-from-Motion pipeline

SIFTImageSimilarity

Interactive code for image similarity using SIFT algorithm

nerf

Code release for NeRF (Neural Radiance Fields)

Distance_measurement_using_single_camera

using single camera to measure the distance opencv python,

Transformer-in-Computer-Vision

A paper list of some recent Transformer-based CV works.