loretoparisi
Follow
Lists (32)
3D Scene Reconstruction
Audio
Audio Generation
Audio synthesisAudio Source Separation
Automatic Speech Recognition
Speech to TextBERT
Bidirectional Encoder Representations from TransformersCapsNet
Capsule Neural NetworksChinese NLP
CLIP
Contrastive Language-Image Pre-trainingComputer Vision
Elixir
Embedding
Erlang
FastText
Word2vec & FastText text embeddingsGraph Neural Networks
GNNImage Classification
Classification of imagesImage Generation
Neural generation of imagesJavaScript
Language Modeling
MIDI
NER
Named Entities RecognitionONNX
Onnx runtime and models weightsProtein Structure Prediction
Python
RL
Reinforcement Learning and AgentsRust
Search
Search EnginesSemantic Search
TensorRT
Text Classification
Wasm
Web AssemblyWord2vec
Stars
A latent text-to-image diffusion model
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.
🔊 Text-Prompted Generative Audio Model
Google Research
10 Weeks, 20 Lessons, Data Science for All!
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Python programs, usually short, of considerable difficulty, to perfect particular skills.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Instruct-tune LLaMA on consumer hardware
A guidance language for controlling large language models.
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
This repository contains implementations and illustrative code to accompany DeepMind publications
A multi-voice TTS system trained with an emphasis on quality
High-Resolution Image Synthesis with Latent Diffusion Models
Foundational Models for State-of-the-Art Speech and Text Translation
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
QLoRA: Efficient Finetuning of Quantized LLMs
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
LAVIS - A One-stop Library for Language-Vision Intelligence
Official inference library for Mistral models
🤖 💬 Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
Multi-Joint dynamics with Contact. A general purpose physics simulator.
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node