Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

An annotated implementation of the Transformer paper.

FinRobot: An Open-Source AI Agent Platform for Financial Analysis using LLMs 🚀 🚀 🚀

An adversarial example library for constructing attacks, building defenses, and benchmarking both

[ICLR 2023] ReAct: Synergizing Reasoning and Acting in Language Models

The Numenta Anomaly Benchmark

This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.

A machine learning toolkit for log-based anomaly detection [ISSRE'16]

Keras implementation of Deeplab v3+ with pretrained weights

A throughput-oriented high-performance serving framework for LLMs

Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples

TensorFlow Implementation of "Show, Attend and Tell"

Practical Examples for RNNs in Tensorflow

This is suite of the hands-on training materials that shows how to scale CV, NLP, time-series forecasting workloads with Ray.

A Keras model that addresses the Quora Question Pairs dyadic prediction task.

tensorflow implementation of Grad-CAM (CNN visualization)

A combination of Autoencoder and Robust PCA

Implementation code for the paper "Generating Natural Language Adversarial Examples"

My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]

Explored CNNs with TensorFlow to create models for cropped single-digit and original multi-digit images from SVHN dataset.