ShivrajSinghNegi
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Clone a voice in 5 seconds to generate arbitrary speech in real-time
ASCII generator (image to text, image to image, video to video)
A FARM stack boilerplate with docker integration. This is a starting template for projects using a Python FastAPI server, MongoDB storage and React frontend, with docker setup for development and p…
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Code samples used on cloud.google.com
Datasets, Transforms and Models specific to Computer Vision
A comprehensive list [SAMRS@NeurIPS'23, RVSA@TGRS'22, RSP@TGRS'22] of our research works related to remote sensing, including papers, codes, and citations. Note: The repo for [TGRS'22] "An Empirica…
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Techniques for deep learning with satellite & aerial imagery
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
This repository is an implementation of the Wav2Vec2 model for converting speech into text through a series of speech recognition, noise removal and STT to transcribe the text from a video file.
Master the command line, in one page
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
This repository is an implementation of the Wav2Vec2 model for converting speech into text through a series of speech recognition, noise removal and STT to transcribe the text from a video file.
This is an official implementation for "Video Swin Transformers".
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support
A Survey on Text-to-Video Generation/Synthesis.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
A playbook for systematically maximizing the performance of deep learning models.
🎁 5,400,000+ Unsplash images made available for research and machine learning
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
This repository contains demos I made with the Transformers library by HuggingFace.
Machine learning-powered video library that returns accurate results given search queries based on the features: audio, onscreen text, and image objects
In this blog, we will build a small scale text-to-video model from scratch. We will input a text prompt, and our trained model will generate a video based on that prompt.