Flavio Bernardotti's Projects
Will be added later.
Real World Machine Learning Projects in C#
Migrate C code to Rust
A lightweight, GPU-accelerated Computer Vision library for high-performance AI research.
Python Bitcoin Node
Caffe: a fast open framework for deep learning.
Realtime C++ code for multi-person pose estimation
Multiple samples showing the best practices in camera APIs on Android.
Build cross-platform Native Progressive Web Apps for iOS, Android, and the web ⚡️
Cap'n Proto serialization/RPC system - core tools and C++ library
Counting CNN and Hydra CNN
Object detection, 3D detection, and pose estimation using center point detection:
A flexible framework of neural networks for deep learning
ChainerCV: a Library for Deep Learning in Computer Vision
ChainerRL is a deep reinforcement learning library built on top of Chainer.
ChainerUI: User Interface for Chainer
Backend for IoT based face-recognition attendance management system
👦👧 Chehra is a Face Recognition Web Application built using React at the Front-End, Node.js and Express at the Backend with PostgreSQL serving as the Database to store Usernames, E-Mail and their passwords using Hashing algorithm ❤️
CK framework brings collaboration, automation, reproducibility, reusability & fun to complex R&D projects:
Collective Knowledge extension to let users implement customizable, portable, multi-dimensional and multi-objective SW/HW auto-tuning pipelines (workflows) using CK Framework. It is used as a universal engine for collaborative AI crowd-benchmarking and crowd-tuning across different compilers, libraries, run-time systems and platforms:
Collective Knowledge Workflows for Movidius Neural Compute Stick as a part of AI unification:
Collective Knowledge components for TensorFlow (code, data sets, models, packages, workflows):
Documentation for the DeepBot Client WebSocket Library
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
CMSIS Version 5 Development Repository
Facial landmark detection based on deep convolutional neural network.
The CNN architecture elements implemented with RTL approach in VHDL.
Landmark Detection with CNN on FPGA including DPR
Fine-tune CNN in Keras