Stars
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Learn how to design, develop, deploy and iterate on production-grade ML applications.
🔊 Text-Prompted Generative Audio Model
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Neural Networks: Zero to Hero
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
Foundational Models for State-of-the-Art Speech and Text Translation
This repository contains demos I made with the Transformers library by HuggingFace.
Public facing notes page
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
Flax is a neural network library for JAX that is designed for flexibility.
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Silero Models: pre-trained text-to-speech models made embarrassingly simple
Tacotron 2 - PyTorch implementation with faster-than-realtime inference
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
Keras documentation, hosted live at keras.io
Algorithms for outlier, adversarial and drift detection
Beyond Accuracy: Behavioral Testing of NLP models with CheckList
Text-to-Speech for languages of India
Deep learning Bangla resources using TensorFlow
Pretraining, fine-tuning and evaluation scripts for Indic-Wav2Vec2
Lightweight demos for finetuning LLMs. Powered by 🤗 transformers and open-source datasets.
Transformer based Bangla Speech Recognition | Encoder Decoder Architecture
Wavelet CNN, Texture Classification in Keras
Aiming to achieve ultimate Multilingual TTS pipeline with main focus on releasing COQUI🐸TTS(Text-to-Speech) based high performing neural voice cloning systems for Bangla for the first time, support…
Bangla word2vec using skipgram approach