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Universitร di Bologna
- Italy
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17:22
(UTC +02:00) - https://medium.com/@luca-anzalone
- https://orcid.org/0000-0002-0399-8836
- https://stackoverflow.com/users/21113996/luca-anzalone
Stars
A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 and reasoning techniques.
Scenic: A Jax Library for Computer Vision Research and Beyond
PyTorch implementations of deep reinforcement learning algorithms and environments
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
A curated list of awesome C frameworks, libraries, resources and other shiny things. Inspired by all the other awesome-... projects out there.
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation
Template repo for building and publishing Docker images (and using them on an HPC cluster with Singularity)
Hallo: Hierarchical Audio-Driven Visual Synthesis for Portrait Image Animation
Code of the paper "OmniJet-ฮฑ: The first cross-task foundation model for particle physics" (https://arxiv.org/abs/2403.05618).
Perplexica is an AI-powered search engine. It is an Open source alternative to Perplexity AI
Details for the Science4Cast competition
A simple interface to GPIO devices with Raspberry Pi
๐ค ๐๐ฒ๐ฎ๐ฟ๐ป for ๐ณ๐ฟ๐ฒ๐ฒ how to ๐ฏ๐๐ถ๐น๐ฑ an end-to-end ๐ฝ๐ฟ๐ผ๐ฑ๐๐ฐ๐๐ถ๐ผ๐ป-๐ฟ๐ฒ๐ฎ๐ฑ๐ ๐๐๐ & ๐ฅ๐๐ ๐๐๐๐๐ฒ๐บ using ๐๐๐ ๐ข๐ฝ๐ best practices: ~ ๐ด๐ฐ๐ถ๐ณ๐ค๐ฆ ๐ค๐ฐ๐ฅ๐ฆ + 12 ๐ฉ๐ข๐ฏ๐ฅ๐ด-๐ฐ๐ฏ ๐ญ๐ฆ๐ด๐ด๐ฐ๐ฏ๐ด
A new markup-based typesetting system that is powerful and easy to learn.
๐ก Open source home automation that puts local control and privacy first.
C++ framework for embedded programming on top of Espressif's ESP-IDF.
Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
TensorFlow Lite Micro for Espressif Chipsets
Espressif deep-learning library for AIoT applications
MicroPython - a lean and efficient Python implementation for microcontrollers and constrained systems
a simple and scalable agent for training adaptive policies with sequence-based RL
CalEPD is an Epaper component driver for the ESP-IDF framework with GFX and font support, optional touch interface, compatible with ESP32 / S2 / S3 / C3
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Machine Learning Engineering Open Book