NumPy & SciPy for GPU

Simple tests for JAX, PyTorch, and TensorFlow to test if the installed NVIDIA drivers are being properly picked up

bilibili视频【CUDA 12.1 并行编程入门(Python语言版)】配套代码

Mixed vision-language Attention Model that gets better by making mistakes

Set up CI in DL/ cuda/ cudnn/ TensorRT/ onnx2trt/ onnxruntime/ onnxsim/ Pytorch/ Triton-Inference-Server/ Bazel/ Tesseract/ PaddleOCR/ NVIDIA-docker/ minIO/ Supervisord on AGX or PC from scratch.

Docker containerize DL apps with Tensorflow, Pytorch

A flexible framework of neural networks for deep learning

Convolutional Neural Network to convert crude sketches into faces

A python library to control nvidia gpu fan to use more aggressive cooling for instance for DL applications. Use at your own risk.

Training Using Multiple GPUs

A series of scripts to easily manage tensorflow GPU conda environments

my thesis works on mri image segmentation of brain tumour using deep learning models

GPU-accelerated Deep Learning on Windows 10 native

Lightweight turnkey solution for AI

The study of negative online behavior, like toxic comments i.e. comments that are rude and disrespectful or otherwise are likely to make someone leave a conversation.

Deep reinforcement Q learning model to find the treasure at a fixed location from a random location in a maze

Social Distancing and Face Mask Detection using TensorFlow. Install all required Libraries and GPU drivers as well. Refer to README.md or REPORT for know to installation requirement

TensorFlow Addons installation wheels for Jetson Nano

An example of using the Tensorflow-GPU with Cuda and cuDNN. The goal is to perform the inference of a CNN (trained by Keras) in a python program and use npy files as input.

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