An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
Connect home devices into a powerful cluster to accelerate LLM inference. More devices means faster inference.
Machine learning on FPGAs using HLS
SLING - A natural language frame semantics parser
A Python package for extending the official PyTorch that can easily obtain performance on Intel platform
Generic U-Net Tensorflow implementation for image segmentation
JAX - A curated list of resources https://github.com/google/jax
Self-contained Machine Learning and Natural Language Processing library in Go
Training PyTorch models with differential privacy
Deep learning in Rust, with shape checked tensors and neural networks
Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm
Prevent PyTorch's `CUDA error: out of memory` in just 1 line of code.
Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratch using Pytho...
This is the code for Deformable Neural Radiance Fields, a.k.a. Nerfies.
PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.
Awesome-pytorch-list 翻译工作进行中......
A lightweight library for PyTorch training tools and utilities
Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
PyTorch tutorials and best practices.
Acceleration package for neural networks on multi-core CPUs
Official github repository for Fast Artificial Neural Network Library (FANN)
Building a Real-time Hand-Detector using Neural Networks (SSD) on Tensorflow
A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network mo...
NBA sports betting using machine learning
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help m...
Official implementation of the RAVE model: a Realtime Audio Variational autoEncoder
Several simple examples for popular neural network toolkits calling custom CUDA operators.
A neural network library built in JavaScript
A Data Streaming Library for Efficient Neural Network Training
ChainerCV: a Library for Deep Learning in Computer Vision
ARCHIVED: Contains historical course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #...
PyTorch tutorials, examples and some books I found 【不定期更新】整理的PyTorch 最新版教程、例子和书籍
Multi-class confusion matrix library in Python
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
Deep Learning Toolkit for Medical Image Analysis
Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris
List of Machine Learning, AI, NLP solutions for iOS. The most recent version of this article can be found on my blog.
Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.
Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with sup...
The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)
Concise and beautiful algorithms written in Julia
[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish o...
A collection of computer vision pre-trained models.
nGraph has moved to OpenVINO
A primitive library for neural network
Owl - OCaml Scientific Computing @ https://ocaml.xyz
A PyTorch library and evaluation platform for end-to-end compression research