Irfan Danish (@irdanish11)
  • Stars
    star
    123
  • Global Rank 173,853 (Top 7 %)
  • Followers 53
  • Following 34
  • Registered about 8 years ago
  • Most used languages
    Python
    71.4 %
    Java
    7.1 %
    Verilog
    7.1 %
    Shell
    7.1 %
    HCL
    7.1 %
  • Location πŸ‡΅πŸ‡° Pakistan
  • Country Total Rank 370
  • Country Ranking
    Verilog
    9
    HCL
    19
    Python
    44
    Shell
    147
    Java
    1,306

Top repositories

1

DJSCC-for-Wireless-Image-Transmission

Deep Joint Source-Channel Coding for Wireless Image Transmission
Python
49
star
2

Sentence-Prediction-using-LSTMs_aka-Language-Modeling

LSTM text generation by word. Used to generate multiple sentence suggestions based on the input words or a sentence
Python
27
star
3

AnomalyEventDetection

Unsupervised deep learning system for local anomaly event detection in crowded scenes
Python
20
star
4

Seq2Seq-UrduChatBot

A Sequence to Sequence Model Implementation of Urdu Natural Language Processing
Python
5
star
5

FPGA-LED-Brightness-PWM-

Generation of Pulse Width Modulation Using Verilog HDL
Verilog
4
star
6

GANs-TimeSeriesForecasting

Stock Market Prediction Based on Generative Adversarial Network
Python
3
star
7

graph-recommend

A Product Recommendation System using GNN and Network Analysis
Python
3
star
8

irdanish11

2
star
9

AnomalyDetection_UsingConvLSTM

An approach for anomaly event detection on UCF crime dataset using Saptio-Temporal Autoencoder and Fully Connected Network
Python
2
star
10

parchix

Post Arch/Artix Linux Installation Configurations for Developers and Machine Learning Engineers
Shell
1
star
11

devops

Java
1
star
12

terraform-iac

Repository for Terraform Blog Series
HCL
1
star
13

Human-Activity-Recognition-on-UCF101

Human Action Recognition in Deep Learning
Python
1
star
14

Cycle-Consistent-Adversarial-Networks

Implementation of Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks using PyTorch
Python
1
star
15

Movies-Recommendation

Recommendation System using collaborative filtering
Python
1
star