DarshanDeshpande/Research-With-TF DarshanDeshpande/Research-With-TF

  • Stars
    star
    1
  • Language
    Jupyter Notebook
  • License
    Apache License 2.0
  • Created about 4 years ago
  • Updated almost 4 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
DarshanDeshpande/Research-With-TF
github

DarshanDeshpande

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

πŸš€ Implementation of my research ideas

More Repositories

1

Scrapera

A universal package of scraper scripts for humans
Python
309
star
2

jax-models

Unofficial JAX implementations of deep learning research papers
Python
150
star
3

tf-madgrad

A tf.keras implementation of Facebook AI's MadGrad optimization algorithm
Python
21
star
4

research-paper-implementations

Open Sourced ML Research Paper Implementations in Tensorflow
Python
19
star
5

COVID-19-Detector

Diagnosing COVID-19 patients through X-Rays
Jupyter Notebook
17
star
6

tfrecord-generator

This repository contains scripts for conversion of data required for most commonly found Machine Learning tasks to TFRecords
Python
13
star
7

audio-spectral-enhancement

Tensorflow Implementation of Audio Spectral Enhancement: Leveraging Autoencoders for Low Latency Reconstruction of Long, Lossy Audio Sequences (Darshan Deshpande and Harshavardhan Abichandani, 2021)
Python
5
star
8

Instagram-Bot-Reporter

πŸ€– Machine Learning and Automation Against Unsolicited Bots on Instagram
Python
3
star
9

Miscellaneous-Deep-Learning-Projects

Starter notebooks for Deep Learning enthusiasts
Jupyter Notebook
2
star
10

Conversational-AI-Chatbot

Transformer based sequence model for contextual conversation generation
Jupyter Notebook
1
star
11

Face-Detection

This is an extension to the face_recognition library by ageitgey
Python
1
star
12

complex-optimization

Tensorflow examples demonstrating advantages of complex variable optimization
Jupyter Notebook
1
star
13

Speech-Recognition

A speech recognition model using a three layered Conv1D neural network made for Tensorflow's Speech Recognition Kaggle Challenge
Jupyter Notebook
1
star