An Open Source Machine Learning Framework for Everyone
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Updated
Jun 1, 2024 - C++
Artificial neural networks (ANN) are computational systems that "learn" to perform tasks by considering examples, generally without being programmed with any task-specific rules.
An Open Source Machine Learning Framework for Everyone
Single perceptron neural network , capacble of add . sub, mul and div from training data
This project is an introduction to artificial neural networks thanks to the implementation of a multilayer perceptron.
Awesome Time-Series Imputation Papers, including a must-read paper list about using deep learning neural networks to impute incomplete time series containing NaN missing values/data
Tensors and Dynamic neural networks in Python with strong GPU acceleration
An ASL detection script utilizing a TensorFlow image classification model trained from scratch. It is tailored to recognize American Sign Language (ASL) alphabet letters from live video streams, and provides documentation covering the neural network architecture, installation, dataset details, training procedures, and real-time detection.
Open standard for machine learning interoperability
Profile PyTorch models for FLOPs and parameters, helping to evaluate computational efficiency and memory usage.
A repository for almost every deep learning algorithms
A tool for cell instance aware segmentation in densely packed 3D volumetric images
Official Implementation of Self-Supervised Street Gaussians for Autonomous Driving
Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
A python script which enables mouse control using hand gestures through a webcam. This script uses MediaPipe hand tracking to feed a TensforFlow neural network model to enhance gesture classification.
Tensor parallelism is all you need. Run LLMs on weak devices or make powerful devices even more powerful by distributing the workload and dividing the RAM usage.
Sandbox for graphics paper implementation
Recreating PyTorch from scratch (C/C++, CUDA and Python, with GPU support and automatic differentiation!)
Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
Topic Modelling for Humans
Graphics Processing Units Molecular Dynamics