Pinned Repositories
BNN-PYNQ
Quantized Neural Networks (QNNs) on PYNQ using Dataflow Architecture
brevitas
Training-aware quantization in Pytorch
CompressAI
A PyTorch library and evaluation platform for end-to-end compression research
DCVC
Deep Contextual Video Compression
EMNIST_data
Flappy-bird
A new modified version of flappy bird game in c++ using allegro
HLS-LAB-3
IoT-enabled-coffee-maker
IoT enabled coffee maker is made by programing TM4C using energia
Linear-Regression-with-Pandas
MNIST-CLASSIFIER
mnist classifier for beginners in KERAS
Maryamsana-1998's Repositories
Maryamsana-1998/BNN-PYNQ
Quantized Neural Networks (QNNs) on PYNQ using Dataflow Architecture
Maryamsana-1998/brevitas
Training-aware quantization in Pytorch
Maryamsana-1998/CompressAI
A PyTorch library and evaluation platform for end-to-end compression research
Maryamsana-1998/DCVC
Deep Contextual Video Compression
Maryamsana-1998/EMNIST_data
Maryamsana-1998/Flappy-bird
A new modified version of flappy bird game in c++ using allegro
Maryamsana-1998/HLS-LAB-3
Maryamsana-1998/IoT-enabled-coffee-maker
IoT enabled coffee maker is made by programing TM4C using energia
Maryamsana-1998/Linear-Regression-with-Pandas
Maryamsana-1998/MNIST-CLASSIFIER
mnist classifier for beginners in KERAS
Maryamsana-1998/NodejsCURD_with_mysql
Maryamsana-1998/NVC_image_captioning
Maryamsana-1998/PaddleOCR
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
Maryamsana-1998/portfolio
Maryamsana-1998/React-Blog-Website
Maryamsana-1998/TinyYOLO-BNN
Example of Tiny YOLO deployed using Xilinx BNN-PYNQ.
Maryamsana-1998/utils
NER Utils
Maryamsana-1998/webWhatsAPP-Frontend
Maryamsana-1998/yolov3
YOLOv3 in PyTorch > ONNX > CoreML > iOS
Maryamsana-1998/YOLOv3-Torch2TRT
Convert YOLOv3 and YOLOv3-tiny (PyTorch version) into TensorRT models.
Maryamsana-1998/yolov4-deepsort
Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.