Pinned Repositories
akashpakkan
Config files for my GitHub profile.
Autopilot
A simple self-driving car module for humans 🚘 🛣️
BenchmarkingZeroShot
Blind-Assistance-Object-Detection-and-Navigation
This is a vision enhancer based module specifically for the BLIND VICTIMS. The system is designed in such a way in which the blind person can take the help of THIRD PARTY APPLICATION which sends Real Time Frames to the LAPTOP-BASED WIRELESS NETWORKED SYSTEM. It works on REAL-TIME OBJECT DETECTION using SSD_MOBILENET algorithm and TENSORFLOW APIs . It has a core feature of approximate distance calculation and Voice - Based wireless feedack generation w.r.t the DISTANCE CALCULATION. It makes the work of Blind easy,efficient and reliable by sending wireless Voice based feedback whether the particular object is either too close to him or is it at a safer distance. The same system can be used from Obstacle Detection
blog
course
The Hugging Face course
Data-Science-Cheat-Sheet
This repository contains all the Cheat Sheet for Data Science,Python Libraries and Git.
Data_Analytics
Data cleaning
dd-ml-segmentation-benchmark
DroneDeploy Machine Learning Segmentation Benchmark
Easter2
Easter2.0: IMPROVING CONVOLUTIONAL MODELS FOR HANDWRITTEN TEXT RECOGNITION
akashpakkan's Repositories
akashpakkan/akashpakkan
Config files for my GitHub profile.
akashpakkan/Autopilot
A simple self-driving car module for humans 🚘 🛣️
akashpakkan/Blind-Assistance-Object-Detection-and-Navigation
This is a vision enhancer based module specifically for the BLIND VICTIMS. The system is designed in such a way in which the blind person can take the help of THIRD PARTY APPLICATION which sends Real Time Frames to the LAPTOP-BASED WIRELESS NETWORKED SYSTEM. It works on REAL-TIME OBJECT DETECTION using SSD_MOBILENET algorithm and TENSORFLOW APIs . It has a core feature of approximate distance calculation and Voice - Based wireless feedack generation w.r.t the DISTANCE CALCULATION. It makes the work of Blind easy,efficient and reliable by sending wireless Voice based feedback whether the particular object is either too close to him or is it at a safer distance. The same system can be used from Obstacle Detection
akashpakkan/blog
akashpakkan/course
The Hugging Face course
akashpakkan/Data-Science-Cheat-Sheet
This repository contains all the Cheat Sheet for Data Science,Python Libraries and Git.
akashpakkan/Data_Analytics
Data cleaning
akashpakkan/dd-ml-segmentation-benchmark
DroneDeploy Machine Learning Segmentation Benchmark
akashpakkan/Easter2
Easter2.0: IMPROVING CONVOLUTIONAL MODELS FOR HANDWRITTEN TEXT RECOGNITION
akashpakkan/Faster-R-CNN
akashpakkan/Faster-R-CNN-on-Custom-Dataset
Implemented Faster R CNN on Custom Dataset
akashpakkan/Handwritten-Text-Recognition
Handwritten Text Recognition (HTR) system implemented with TensorFlow (TF) and trained on the IAM off-line HTR dataset. This Neural Network (NN) model recognizes the text contained in the images of segmented words.
akashpakkan/Image-Classification-Using-EfficientNets
Series of EfficientNets (B0 to B7)
akashpakkan/Kaggle_competitions
Notebooks I created during my first experience with Kaggle competitions.
akashpakkan/lowresource-nlp-bootcamp-2020
The website for the CMU Language Technologies Institute low resource NLP bootcamp 2020
akashpakkan/Machine_Learning_Practice
Hands-on practice of machine learning algorithms.
akashpakkan/Mask-R-CNN-on-Custom-Dataset
akashpakkan/Object-Detection-Classification-CNN-COCO
Project done at the Politechnic University of Madrid together with my colleagues Anamarija Eres and Dominik Kos.
akashpakkan/openvino_notebooks
📚 A collection of Jupyter notebooks for learning and experimenting with OpenVINO 👓
akashpakkan/Reinforcement-Learning-based-Tic-Tac-Toe
akashpakkan/sql
akashpakkan/tensorflow-deep-learning
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
akashpakkan/TextClassificationTensorFlowCNN
Let us look at how we can implement text classification with Tensorflow https://www.tensorflow.org/ TensorFlow is an end-to-end open source platform for machine learning. The dataset is from the Tweet Sentiment Extraction challenge from Kaggle(https://www.kaggle.com/c/tweet-sentiment-extraction/overview) We would implement text classification using a simple convolutional network developed using Tensorflow on tweet data to classify tweets as "positive","negative" or "neutral"
akashpakkan/TFLite-Object-Detection-Android-App-Tutorial-Using-YOLOv5
akashpakkan/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
akashpakkan/Treasure-of-Transformers
💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. 🛫☑️
akashpakkan/voice-based-email-for-blind
Emailing System for visually impaired persons
akashpakkan/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
akashpakkan/YOLOv6
YOLOv6: a single-stage object detection framework dedicated to industrial applications.
akashpakkan/yolov7-instance-segmentation
YOLOv7 Instance Segmentation using OpenCV, PyTorch and Detectron2