Rishikesh (ऋषिकेश) (@rishikksh20)

Top repositories

1

ViViT-pytorch

Implementation of ViViT: A Video Vision Transformer
Python
451
star
2

ResUnet

Pytorch implementation of ResUnet and ResUnet ++
Python
392
star
3

VocGAN

VocGAN: A High-Fidelity Real-time Vocoder with a Hierarchically-nested Adversarial Network
Python
317
star
4

FNet-pytorch

Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms
Python
242
star
5

convolution-vision-transformers

PyTorch Implementation of CvT: Introducing Convolutions to Vision Transformers
Python
210
star
6

FastSpeech2

PyTorch Implementation of FastSpeech 2 : Fast and High-Quality End-to-End Text to Speech
Jupyter Notebook
209
star
7

iSTFTNet-pytorch

iSTFTNet : Fast and Lightweight Mel-spectrogram Vocoder Incorporating Inverse Short-time Fourier Transform
Python
200
star
8

MLP-Mixer-pytorch

Unofficial implementation of MLP-Mixer: An all-MLP Architecture for Vision
Python
199
star
9

hifigan-denoiser

HiFi-GAN: High Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks
Python
186
star
10

CrossViT-pytorch

Implementation of CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification
Python
161
star
11

AdaSpeech

AdaSpeech: Adaptive Text to Speech for Custom Voice
Jupyter Notebook
152
star
12

HiFiplusplus-pytorch

HiFi++: a Unified Framework for Neural Vocoding, Bandwidth Extension and Speech Enhancement
Python
142
star
13

Avocodo-pytorch

Avocodo: Generative Adversarial Network for Artifact-free Vocoder
Python
113
star
14

SoundStorm-pytorch

Google's SoundStorm: Efficient Parallel Audio Generation
Python
112
star
15

Fre-GAN-pytorch

Fre-GAN: Adversarial Frequency-consistent Audio Synthesis
Python
99
star
16

CeiT-pytorch

Implementation of Convolutional enhanced image Transformer
Python
95
star
17

vae_tacotron2

VAE Tacotron 2, an alternative of GST Tacotron
Python
85
star
18

TalkNet2-pytorch

TalkNet 2: Non-Autoregressive Depth-Wise Separable Convolutional Model for Speech Synthesis with Explicit Pitch and Duration Prediction.
Python
85
star
19

TFGAN

TFGAN: Time and Frequency Domain Based Generative Adversarial Network for High-fidelity Speech Synthesis
Python
80
star
20

HiFi-GAN

HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
Python
75
star
21

LightSpeech

LightSpeech: Lightweight and Fast Text to Speech with Neural Architecture Search
Python
75
star
22

AdaSpeech2

AdaSpeech 2: Adaptive Text to Speech with Untranscribed Data
Jupyter Notebook
69
star
23

UnivNet-pytorch

UnivNet: A Neural Vocoder with Multi-Resolution Spectrogram Discriminators for High-Fidelity Waveform Generation
Python
66
star
24

NaturalSpeech2

Python
63
star
25

AudioMAE-pytorch

Unofficial PyTorch implementation of Masked Autoencoders that Listen
Python
60
star
26

melgan

MelGAN implementation with Multi-Band and Full Band supports...
Jupyter Notebook
59
star
27

Liveness-Detection

Liveness Detection for human face
Python
52
star
28

gmvae_tacotron

Gaussian Mixture VAE Tacotron
Python
51
star
29

iSTFT-Avocodo-pytorch

Ultrafast GAN based Vocoder for Text to Speech
Python
50
star
30

Phone-Level-Mixture-Density-Network-for-TTS

Rich Prosody Diversity Modelling with Phone-level Mixture Density Network
Jupyter Notebook
45
star
31

LSTM-Time-Series-Analysis

Using LSTM network for time series forecasting
Jupyter Notebook
43
star
32

NU-Wave-pytorch

NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling
Python
38
star
33

PPSpeech

PPSpeech: Phrase based Parallel End-to-End TTS System
Python
34
star
34

Zero-Shot-TTS

Unofficial Implementation of Zero-Shot Text-to-Speech for Text-Based Insertion in Audio Narration
Python
34
star
35

ResMLP-pytorch

ResMLP: Feedforward networks for image classification with data-efficient training
Python
29
star
36

NU-Wave2-pytorch

NU-Wave 2: A General Neural Audio Upsampling Model for Various Sampling Rates [WIP]
Python
24
star
37

rectified-linear-attention

Sparse Attention with Linear Units
Python
17
star
38

SiT-pytorch

SiT: Self-supervised vision Transformer
Python
17
star
39

CoaT-pytorch

CoaT: Co-Scale Conv-Attentional Image Transformers
Python
15
star
40

Movie-Recommender-System

Python
13
star
41

LocalViT-pytorch

LocalViT: Bringing Locality to Vision Transformers
Python
9
star
42

Bidirectional-LEM-pytorch

Pytorch Implementation of Bidirectional Long Expressive Memory
Python
9
star
43

compact-convolution-transformer

Compact Convolution Transformers
Python
8
star
44

WaveFlow

WaveFlow : A Compact Flow-based Model for Raw Audio
Python
4
star
45

McKinsey-Hiring-Hack-Challenge

My solution for Online McKinsey Hiring Hack Challenge hosted by Analytics Vidhya.
Jupyter Notebook
4
star
46

Word2Vec

Word2Vec tutorial using tensorflow
Jupyter Notebook
3
star
47

IMDB-Movie-Review-sentiment-Analysis

Jupyter Notebook
3
star
48

Meme-recognizer

Recognize the given image is Meme or not
Jupyter Notebook
3
star
49

Introduction-to-Tensorflow

Tensorflow tutorial from scratch
Jupyter Notebook
2
star
50

Image-classifier-for-all

Universal Image classifier
Jupyter Notebook
2
star
51

fastspeech2_samples

2
star
52

MyApplication

Android application in which audio and image play simultaneously
Java
2
star
53

Loan-Prediction-Challenge

Jupyter Notebook
2
star
54

CNN-Visualization

Jupyter Notebook
2
star
55

Twins-SVT-pytorch

Twins: Revisiting the Design of Spatial Attention in Vision Transformers
2
star
56

Avito-Duplicate-ads

Jupyter Notebook
1
star
57

PropertySetUp

1
star
58

Document-Classifier

Classify documents using Machine learning
Jupyter Notebook
1
star
59

Data-Analysis

Jupyter Notebook
1
star
60

Natural-Language-Processing

Jupyter Notebook
1
star
61

Keras

Predictive analysis using Keras a powerful Neural network library run over theano for python
Jupyter Notebook
1
star
62

rishikksh20.github.io

My Github Blog
HTML
1
star
63

Data-Mining-Algos

Famous Data Mining Algos written in python using scikit-learn library
Python
1
star
64

Identify-Question-Type

Given a question, the aim is to identify the category it belongs to. The four categories to handle for this assignment are : Who, What, When, Affirmation(yes/no). Label any sentence that does not fall in any of the above four as "Unknown" type.
Jupyter Notebook
1
star
65

Inception-Transformer-pytorch

iFormer: Inception Transformer
1
star
66

Email-Classification-Statement-Contract

classify emails into statements and contracts
Python
1
star
67

Movie-Recommendation-System

Hybrid Movie recommendation system
Jupyter Notebook
1
star
68

SystemInfo

Jupyter Notebook
1
star
69

LSTM_syntheic_gradient

Jupyter Notebook
1
star