Pinned Repositories
100-Days-Of-ML-Code
100 Days of ML Coding
awesome-quantum-machine-learning
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
AxisBankHackathon
https://www.hackerearth.com/sprints/axis-hackathon/
DeepLearningAcademy
Course 01: Applied Deep Learning for Predictive Analytics by Artem Oppermann
humanActivityRecognitionUsingSmartphones
Written as the final programming assignment for the Data Science Specialization "Getting and Cleaning Data" Course by John Hopkins University, offered through Coursera
MMWML
Homework assignments for Siraj Raval's exclusive MOOC: Make Money With Machine Learning
NTCC_S06_PredictingForDiabetesInHumans
NTCC Project; Indepedent Study and Research; B.Tech Undergraduate; Amity University Kolkata
personalActivityMonitoringDeviceDataAnalysis
Written as an assignment for the Data Science Specialization "Reproducible Research" Course by John Hopkins University, offered through Coursera; Assignment 01 from Week 02
stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
Dexter1618's Repositories
Dexter1618/MMWML
Homework assignments for Siraj Raval's exclusive MOOC: Make Money With Machine Learning
Dexter1618/NTCC_S06_PredictingForDiabetesInHumans
NTCC Project; Indepedent Study and Research; B.Tech Undergraduate; Amity University Kolkata
Dexter1618/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
Dexter1618/100-Days-Of-ML-Code
100 Days of ML Coding
Dexter1618/awesome-quantum-machine-learning
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
Dexter1618/AxisBankHackathon
https://www.hackerearth.com/sprints/axis-hackathon/
Dexter1618/DeepLearningAcademy
Course 01: Applied Deep Learning for Predictive Analytics by Artem Oppermann
Dexter1618/Coursera_Capstone
IBM Specialization; Applied Data Science; Coursera; Capstone Project Course
Dexter1618/DCTNet
Dexter1618/Deep-Learning-Book-Chapter-Summaries
Attempting to make the Deep Learning Book easier to understand.
Dexter1618/Dexter1618
Github Profile Introduction README
Dexter1618/dexter1618.github.io
Repository to contain the content for my static portfolio website at https://dexter1618.github.io/
Dexter1618/Digital-Audio-Signal-Processing-and-Machine-Learning-Tutorials
Digital Audio Signal Processing and Machine Learning Tutorials
Dexter1618/DL-workshop-series
Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)
Dexter1618/emotion-recognition-neural-networks
Emotion recognition using DNN with tensorflow
Dexter1618/GAN-understanding
Implements gans on toy datasets and preliminary ML datasets for showing certain aspects of convergence and stability. Tries to cover various loss functions defined over the years.
Dexter1618/HOGNumPy
Histogram of oriented gradients (HOG) Python implementation using NumPy.
Dexter1618/ipython-notebooks
A collection of IPython notebooks covering various topics.
Dexter1618/nlp_course
YSDA course in Natural Language Processing
Dexter1618/panotti
A multi-channel neural network audio classifier using Keras
Dexter1618/PCA-Principal-Component-Analysis-
Principal Component Analysis (PCA) is by far the most popular dimensionality reduction algorithm. First it identifies the hyperplane that lies closest to the data, and then it projects the data onto it.
Dexter1618/Practical_RL
A course in reinforcement learning in the wild
Dexter1618/practicalAI
📚 A practical approach to machine learning.
Dexter1618/progfun-wiki
Dexter1618/pytorch-kaldi
pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.
Dexter1618/PyTorch-Project-Template
A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.
Dexter1618/Reinforcement-Learning-Notebooks
A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.
Dexter1618/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Dexter1618/thepythonmegacourse
Dexter1618/world_models
This is the code for "World Models Explained" By Siraj Raval on Youtube