Basic Gesture Recognition Using mmWave Sensor - TI AWR1642

Intrusion Detection System - IDS example using Dense, Conv1d and Lstm layers in Keras / TensorFlow

MPS like shaders for audio processing. Conv1d, Spectrogram.

cross-platform modular neural network inference library, small and efficient

Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models

Augmenting character level Transformers with Causal Dilated Conv1D layers

VAITP - Vulnerability Attack and Injection Tool for Python

Cross-platform mobile Neural network C library for training and inference on the device. CPU only. It fits for time-series data.

Implemented a Research paper "PubMed 200k RCT: a Dataset for Sequential Sentence Classification in Medical Abstracts. Use Hybrid Embedding (char + token + positional).

GAN for Spectral Data Augmentation

Goal is to detect peak in given signal(s) in directory \dataset with computation intelligence and not just signal processing. Here, we have used 1D CNN from Keras to achieve it.

Benchmark NLP models on Kaggle “Disaster Tweets”: TF-IDF + Naive Bayes baseline, Keras deep nets (Dense/LSTM/GRU/BiRNN/Conv1D), and TensorFlow Hub Universal Sentence Encoder transfer learning—compared using accuracy, precision, recall, and F1.

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Anomaly detection with Dense, LSTM, and Conv1D autoencoders — reconstruction error, adaptive thresholds, ROC/PR analysis, and error heatmaps.

Starter repository for the Manning liveProject: What's the news: Summarize news articles with NLP, Deep Learning, and Python.

A project on Topic Modelling and Text Summarization of NIPS research papers

📈 Conv1D + LSTM forecasting with synthetic data, feature engineering, and trend alignment. Full deep learning pipeline.

predict price of bitcoin using time series

This model converts Facial expression to basic messages for motor impaired patients with own dataset

A Comprehensive Analysis Framework for Material Thickness Estimation Using TOF Data