Rakibul Haque's repositories
blog_remastered
My very own blog website called Blogzart!(made using flask)
Comment_Flag_LSTM_Model
A comment classfifer for my blogsite(Blogzart!) to filter comments
Face_emotion_detection_fastapi
Upload pics version of emotion detection model which detects faces using haarscascade and passes the image(converted to numpy array) to the ViT transformer model which in turn predicts the emotions. There are 5 classes or Emotions that the model was trained on. Happy, Sad, Angry, Surprised and Neutral.
face_recognition_attendance_system
using redis and insightface models for creating a state of the art facial recogntion attendance system
Custom-falcon-training
Training open source falcon 7b and 47b for chatbot purpose
delivery_package_detection
Using Raspberry pi and custom training Yolov8 to detect delivery packages for notifying through email
SRGAN-from-scratch
Creating an SRGAN model based on a research paper
vn_online_store
Online E-commerce store template to show what kind of work I did for a private hire contract work, for contractual reasons the main website code cant be shown. Due to this proprietary rights, I created a lookalike to show what I did.
Emotion_Detection_Model-ViT-_V1.0
The Final Version of my emotion detection model using ViT Transformers
Custom-GPT2-voice-assistant
training gpt2 on custom dataset for voice input and output
Emotion-model-sec-16
for reference only(Ensembling Models using Resnet34 architecture and EfficientnetB5 Architecture.
Emotion_detection_model
Building an emotion detection model using state of the art cnn's from scratch
Emotion_model-sec-17-Vision-Transfomers
Using State of the art Tranfomers Architecture to detect Emotions,(also for self reference)
fer2013_dataset_vit_model
Extracting Pictures from csv to ViT model with only 61% accuracy(self reference)
langchain_apps_OpenAI
Creating langchain apps using OpenAI api
Machine_Learning_Translation
Using RNN and Transformers to perform translation from english to french. Building models from scratch.
rakibulhaque9954
Config files for my GitHub profile.
Sec-19-object-detection-YOLO
self reference YOLO model from scratch using pascal voc 2012 dataset
sec-20-UNET_Model-Data-segmentation
Due to inconsistency of dataset training got rough, but the code is right. Self reference
sec-21-Shanghaitech_dataset
Using guassian distribution and maps to count people in an image, self reference
sec-22-Image-generation-GANs
Using state of the art GAN's to generate faces
sec-22-Image-generation-VAEs
for self reference, variational auto-encoders for image generation
sentiment-analysis-imdb
Using different Neural Networks architectures to perform sentiment analysis on the imdb dataset provided by tensorflow.