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.

Simple yet powerful deep learning

ClearML Agent - ML-Ops made easy. ML-Ops scheduler & orchestration solution

Hello everyone this repo will contain my journey of machine learning and DeepLearning with some exciting projects

Gen AI Framework and Orchestration Engine. GenAI Goos.Flock emerges as a groundbreaking framework and orchestration engine, designed to seamlessly integrate and manage complex AI workflows. This innovative platform is the ultimate solution for organizations seeking to harness the full potential of Generative AI, Large Language Models (LLMs)

This project is a deep learning model built with PyTorch that classifies images into two categories: cats and dogs.

Welcome to the Deep Learning 50 Days Challenge repository! This repository contains resources, code samples, and projects for a comprehensive 50-days deep learning journey.

DeepCBA is a high-precision maize gene expression prediction model, which includes convolution neural network (CNN), bidirectional long short-term memory network (BiLSTM) and self-attention mechanism.

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

Decentralized & federated privacy-preserving ML training, using p2p networking, in JS

High order and sparse layers in pytorch. Lagrange Polynomial, Piecewise Lagrange Polynomial, Piecewise Discontinuous Lagrange Polynomial (Chebyshev nodes) and Fourier Series layers of arbitrary order. Piecewise implementations could be thought of as a 1d grid (for each neuron) where each grid element is Lagrange polynomial. Both full connected a…

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learni…

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in …

HeFlwr: Federated Learning for Heterogeneous Devices

A simple MNIST System built by PyQt5 with custom training setting

TinyTensor is an open-source deep learning library built from scratch in Python, inspired by Joel Grus' approach.

Detectify is a deep learning system that detects AI-generated fake videos (deepfakes) using CNN and LSTM-based RNNs. Trained on datasets like Face-Forensic++, Deepfake Detection Challenge, and Celeb-DF, Detectify offers real-time video manipulation detection to combat misinformation and misuse of deepfake technology.

Some examples of pytorch that i used for learning

Visualizer for neural network, deep learning and machine learning models