kasraus's repositories
AI_for_not_so_Beginners
Making sense of the AI jargon (developing vs using) for non AI SW engineers
aimet
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
awesome-3D-gaussian-splatting
Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.
awesome-NeRF
A curated list of awesome neural radiance fields papers
data-engineering-zoomcamp
Free Data Engineering course!
Deep-Learning-In-Production
Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
groundingLMM
Grounding Large Multimodal Model (GLaMM), the first-of-its-kind model capable of generating natural language responses that are seamlessly integrated with object segmentation masks [CVPR 2024].
LLM4Decompile
Reverse Engineering: Decompiling Binary Code with Large Language Models
maestro
An analytical cost model evaluating DNN mappings (dataflows and tiling).
mobile_app_open
Mobile App Open
model-zoo
The ONNX Model Zoo is a collection of pre-trained models for state of the art models in deep learning, available in the ONNX format
models
A collection of pre-trained, state-of-the-art models in the ONNX format
netron
Visualizer for neural network, deep learning and machine learning models
NyuziProcessor
GPGPU microprocessor architecture
openISP
Image Signal Processor
RepresentationLearning_SS2023
Representation Learning MSc course Summer Semester 2023
snpe-yolov7-inference
A yolov7 tiny model inference applied on qualcomm snpe for pedestrian detection with embedded system.
tsdf-fusion-python
Python code to fuse multiple RGB-D images into a TSDF voxel volume.
VeriGPU
OpenSource GPU, in Verilog, loosely based on RISC-V ISA
webxr-samples
Samples to demonstrate use of the WebXR Device API
XRBench-MLSys2023
A version of XRBench-MAESTRO used for MLSys 2023 publication