Tensors and Dynamic neural networks in Python with strong GPU acceleration

From Python basics to Machine Learning and PyTorch Deep Learning - one day at a time, explore it all

🦋 A personal research and development (R&D) lab that facilitates the sharing of knowledge.

Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.

An Open Source Machine Learning Framework for Everyone

Neural Networks with Sparse Weights in Rust using GPUs, CPUs, and FPGAs via CUDA, OpenCL, and oneAPI

Supercharge Your Model Training

The Machine Learning Module

DeGirum C++ SDK

【🏗️施工中】机器学习入门书：站在高中数学视角了解基础机器学习算法。

Multiples codes about concepts and pipelines for implementation and fundamentals of ML and DeepLearning models.

Uma rede neural recorrente treinada com processamento de linguagem natural, para a classificação de sentimentos. 💬

On-device AI across mobile, embedded and edge for PyTorch

Visualizer for neural network, deep learning and machine learning models

Easily implement parallel training and distributed training. Machine learning library. Note.neuralnetwork.tf package include Llama2, Llama3, Gemma, CLIP, ViT, ConvNeXt, BEiT, Swin Transformer, Segformer, etc, these models built with Note are compatible with TensorFlow and can be trained with TensorFlow.

Deep Learning and Neural Network based Sign Sense or 'Sign Language' to Speech converter is an desktop app which can detect hand signs in a frame and can convert them to Speech, according to their respective meaning. Opposite to this, it can also recognise your voice and can convert it to sign language.

A WebGL accelerated JavaScript library for training and deploying ML models.

repo contains sample code snippets on #ML, #DeepLearning, #GenAI topics

A Python package for identifying 42 kinds of animals, training custom models, and estimating distance from camera trap videos

An Engine-Agnostic Deep Learning Framework in Java