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This repository contains implementations and illustrative code to accompany DeepMind publications
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
This repository contains the source code for the paper First Order Motion Model for Image Animation
Natural Language Processing Tutorial for Deep Learning Researchers
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
High-Resolution Image Synthesis with Latent Diffusion Models
PyTorch code and models for the DINOv2 self-supervised learning method.
The "Python Machine Learning (1st edition)" book code repository and info resource
Dive into this repository, a comprehensive resource covering Data Structures, Algorithms, 450 DSA by Love Babbar, Striver DSA sheet, Apna College DSA Sheet, and FAANG Questions! 🚀 That's not all! We've got Technical Subjects like Operating Systems, DBMS, SQL, Computer Networks, and Object-Oriented Programming, all waiting for you.
Foundational Models for State-of-the-Art Speech and Text Translation
Reference PyTorch implementation and models for DINOv3
Lists of company wise questions available on leetcode premium. Every csv file in the companies directory corresponds to a list of questions on leetcode for a specific company based on the leetcode company tags. Updated as of May, 2022.
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Code release for NeRF (Neural Radiance Fields)
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
TranslatedConvert AI papers to GUI,Make it easy and convenient for everyone to use artificial intelligence technology。
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:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
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.
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.