30-days-of-react

30 Days of React challenge is a step by step guide to learn React in 30 days. It requires HTML, CSS, and JavaScript knowledge. You should be comfortable with JavaScript before you start to React. If you are not comfortable with JavaScript check out 30DaysOfJavaScript. This is a continuation of 30 Days Of JS. This challenge may take more than 100 days, follow your own pace.

about-me

Another One of the Android Application in Google Developer Tutorial. In Section 2

analysis-utilities

andfun-kotlin-android-trivia

avizvaproject

This Project Was Made by Akshay Saruabh and Me as per our Training Project

awesome-diffusion-models

A collection of resources and papers on Diffusion Models

awesome-machine-learning-on-source-code

Cool links & research papers related to Machine Learning applied to source code (MLonCode)

bayesian-flow-networks

A simple implimentation of Bayesian Flow Networks (BFN)

betterfastspeech2

betterpython

Code examples for my Write Better Python Code series on YouTube.

blockchainbooks

Blockchain Books

bostondjangotut

Practicing Django

bree

clap

Contrastive Language-Audio Pretraining

clip

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

colormyviews

This application let me change the color of my views depending on the button clicked, it is a good idea for checking handlers and binding of different elements.

computer-science-flash-cards

Mini website for testing both general CS knowledge and enforce coding practice and common algorithm/data structure memorization.

conditional-flow-matching

Conditional Flow Matching: Simulation-Free Dynamic Optimal Transport

cookiecutter-pypackage

A tool for creating skeleton python project, built with popular develop tools and conform to best practice.

coqui-trainer

🐸 - A general purpose model trainer, as flexible as it gets

data

Python related videos and metadata powering =>

deep-learning

Writing Deep Learning Neural Network for Different Cases

dice-roller

One of The First Android Apps I developed as part of tutorial by Google

diff-ttsg

Diff-TTSG: Denoising probabilistic integrated speech and gesture synthesis

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

dinov2

PyTorch code and models for the DINOv2 self-supervised learning method.

ds-project-template

A template for a typical DS project

espnet

End-to-End Speech Processing Toolkit

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fastspeech2

An implementation of Microsoft's "FastSpeech 2: Fast and High-Quality End-to-End Text to Speech"