Gaining advanced insights from Git repository history.

Google Street View House Number(SVHN) Dataset, and classifying them through CNN

Multi-digit prediction from Google Street's images using deep CNN with TensorFlow, OpenCV and Python.

A plugin for TensorBoard to customize and export Scalar plots

Enable TensorBoard for TensorFlow Go API

Проект по созданию системы безопасности на предприятии, реализующей детектирование людей и автоматическую проверку наличия касок по изображениям с видеокамер

A simple program on how you can use tensor-board for visualization and how you can freeze your model graph and later use if for testing

Face Recognition with Transfer Learning

U-Net for biomedical image segmentation

UCSD ECE 143, Group 20 Project

High speed autonomous vehicle navigation and lane change in dense traffic scenario using custom SUMO gym Environment and Reinforcement Learning algorithm

Multi-class and multi-label images classification for fashion shops

Encoder-Decoder Transformer with cross-attention

Powerful XRP price forecasting using public data. Stacking ensemble (Bi-GRU/LSTM/CNN-LSTM + LightGBM/XGBoost, RidgeR). Fuses market OHLCV (CCXT), news sentiment & top50 whale activity. No API keys or signups. Easy setup. CPU/GPU-ready. Multi-horizon single run forecasting. Backtests + Predictions visuals: plot_charts & in-depth tensorboard dash

Structured learning path from basic tensor operations to model deployment in production

code I used to learn deep learning

Visualize data on TensorBoard.

No description provided.

Experimentation & Results of nvidia-modulus-sym implementation using PINNs

A simple Jupyter notebook to visualize the results of RL experiments stored in Tensorboard log files with Matplotlib.

A performance comparison of sentiment analysis between pre-trained NLP models and visualization them in TensorBoard . Fine tuning some model to for more accurate prediction.

Word and Position Embedding visualization of all pre-trained transformer models like BERT

T.C. Maltepe University Graduate Project (Tooth Detection and Numbering From Panoramic Radiography Adult Patients Using Artificial Neural Network)

Embeddings projector using Sentence-Transformers and Tensorboard

Jupyter Notebooks of my Deep Learning Experiments with Tensorflow.

CNN built from scratch to classify audio files. Trained on the ESC-50 dataset with over 2000 audio files.

This project utilizes an Artificial Neural Network (ANN) to predict customer churn for a bank, based on various customer attributes like demographics, financial details, and account behavior. The model performs binary classification to identify whether a customer is likely to leave the bank (churn) or stay.

Deep Reinforcement Learning Projects

CartPole environment using Stable BaseLines library

📊 📈 📉 👀 Graph Visualization using Tensorboard