Souvik's repositories
TTS_Data_Maker
Text to speech is an emerging zone of AI. This repository helps to create a dataset with audio and transcripts for personalized text to speech .
exploratory_data_analysis
This repository is open for Hacktoberfest contributors to analyze data and bring their opensource skills in action
bvidya_data_science_with_python
This is the repository for the data science with python course by Souvik Ghosh on bvidya
lrnkey_python
This repo contains all the python files that I have been teaching my students .
lipnet_pytorch
This repository contains implementation of lipnet in pytorch
AnimateAnyone
Unofficial Implementation of Animate Anyone
annotated_deep_learning_paper_implementations
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
auto_avsr
Auto-AVSR: Lip-Reading Sentences Project
Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
Convolutional_AutoEncoder
Autoencoders can perform a wide range of functions ranging from image quality improvement to advanced image processing
datasets
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
DomainBed
DomainBed is a suite to test domain generalization algorithms
Indian_TTS
An attempt to bring voice clone via yourtts to Indian languages
lip2speech
Official Implementation of Towards Accurate Lip to Speech Synthesis in the Wild
LipVoicer
Official Code implementation for the ICLR paper "LipVoicer: Generating Speech from Silent Videos Guided by Lip Reading"
souvikg544
Config files for my GitHub profile.
STEAD
STanford EArthquake Dataset (STEAD):A Global Data Set of Seismic Signals for AI
tensorflow_models
Models and examples built with TensorFlow
voltaML
⚡VoltaML is a lightweight library to convert and run your ML/DL deep learning models in high performance inference runtimes like TensorRT, TorchScript, ONNX and TVM.
yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite