BakingBrains

Hand_Tracking-_Using_OpenCV

Simple Hand Tracking module and Controlling Volume through gesture

Real-Time_Background_remover

Using OpenCV and CVzone

Pose_estimation

Pose estimation

Generation_of_Data_using_GAN

Data generation using GAN on our own data

Deep_Learning_models_implementation_from-scratch_using_pytorch_

Deep learning model implementation from scratch using pytorch

People_counting_basic

Face_LandMark_Detection

Facial Landmark Detection using OpenCV and Mediapipe

Sound_Classification

Sound classification on Urban Sound Dataset

Multi-class_text_Classification

Basics for Multi-class text Classification using different classifier algorithms.

Virtual_Zoom_using_OpenCV

Virtual Zoom using OpenCV

GANs_Basics_Notebook

Progressive_GAN-ProGAN-_implementation

ProGAN implementation

yolov7_colab

AI_Virtual_Keyboard

AI virtual keyboard

CNN_model_in_Docker

Training a CNN model in Docker

Graph-Neural-Network

Pytorch Geometric => Build Graph Neural Network RDKit => Handle Molecule Data

Language_Detection_Using_NLP

Simple Language Detection Model

Music_generation_using_deep_learning_-RNN-LSTM-

Generating music using LSTM with the help of ESAC folk song dataset

ShuffleNet-V2_Implementation

Implementation of ShuffleNet V2 architecture

Basic_CNN_using_modelSubclassing

Basic CNN using model sub-classing in keras

Emergency_Vehicle_Detection_-classification-

Emergency vehicle detection and classification using transfer learning

Image_Segmentation__Using_U_Net_like_architecture

Image Segmentation Using U-Net

Pix2Pix_GAN_Implementation

Pix2Pix GAN Implementation

Pose_cloning_Opencv_Mediapipe

Cloning Your Pose using OpenCV and MediaPipe

SMS_spam_detection_using_neural_network

SMS_spam_detection_using_neural_network

SqueezNet_Implementation

Run the training code and then the Inference code to check the model on saved weights.

Text_classification_using_Naive_Bayes_classifier

Text_classification_using_Naive_Bayes_classifier

Time_Series_Forecast

Used case of Time series forecast

optimum

🏎️ Accelerate training and inference of 🤗 Transformers with easy to use hardware optimization tools

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.