parthapritamdeka Goto Github PK
Name: Partha Pritam Deka
Type: User
Bio: Data Scientist, Machine Learning & Deep Learning Engineer, Data Engineer https://www.linkedin.com/in/parthapritamdeka/
Location: San Francisco Bay Area
Partha Pritam Deka's Projects
carnd-traffic-sign-classifier-project
My work-through of the Jupyter notebook for the Udacity Self-Driving Car Nanodegree program Project 2 - Traffic Sign Classifier
contrastive
Contrastive PCA
coursera-deep-learning
Repo for coursera specialization Deep Learning by deeplearning.ai
coursera_deep_learning
All Deep learning Projects under my "Coursera Deep Learning Specialization"
deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
deploying-machine-learning-models
Example Repo for the Udemy Course "Deployment of Machine Learning Models"
dog-breed-classifier-deep-learning
Dog Breed Classifier Deep Learning
easyocr
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
em-explanation
Notebooks explaining the intuition behind the Expectation Maximisation algorithm
feature-selector
Feature selector is a tool for dimensionality reduction of machine learning datasets
image_generator
DCGAN image generator 🖼️.
javascript-essential-training-2832077
This repository is for the Linkedin Learning course: JavaScript Essential Training
machine-learning-systems-design
A booklet on machine learning systems design with exercises
machine-learning-with-python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
machine_learning
All Kaggle projects under "Machine Learning Engineer" Nanodegree
machine_learning_examples
A collection of machine learning examples and tutorials.
mit-deep-learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
models
Models and examples built with TensorFlow
ngraph
nGraph is an open source C++ library, compiler and runtime for Deep Learning frameworks
nvidia-gpu-tensor-core-accelerator-pytorch-opencv
A complete machine vision container that includes Jupyter notebooks with built-in code hinting, Anaconda, CUDA-X, TensorRT inference accelerator for Tensor cores, CuPy (GPU drop in replacement for Numpy), PyTorch, TF2, Tensorboard, and OpenCV for accelerated workloads on NVIDIA Tensor cores and GPUs.
onlinerpca
Online Robust Principal Component Analysis
opencv
Open Source Computer Vision Library
openvino
Optimize CNN inference with OpenVino
problem-solving
Python Coding Challenges
profile
My Profile and Resume
pycaret
An open-source, low-code machine learning library in Python
python-elm
Extreme Learning Machine implementation in Python
python-for-algorithms--data-structures--and-interviews
Files for Udemy Course on Algorithms and Data Structures
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