#Deeplearning
Showing 60 of 263 repositories tagged #deeplearning, ranked by stars
Deepfakes Software For All
AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
Visualizer for neural network, deep learning and machine learning models
VoxCPM2: Tokenizer-Free TTS for Multilingual Speech Generation, Creative Voice Design, and True-to-Life Cloning
Learn OpenCV : C++ and Python Examples
DeepFaceLab is the leading software for creating deepfakes.
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
machine learning and deep learning tutorials, articles and other resources
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)
深度学习入门教程, 优秀文章, Deep Learning Tutorial
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
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 learn...
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
🔥Highlighting the top ML papers every week.
LangGPT: Empowering everyone to become a prompt expert! 🚀 📌 结构化提示词（Structured Prompt）提出者 📌 元提示词（Meta-Prompt）发起者 📌 最流行的提示词落地范式 | Language of GPT The pioneering framework for structured & meta-prompt design 10,000+ ⭐ | Battle-tested by thousands of users worldwide Created by 云中江树
Low-code framework for building custom LLMs, neural networks, and other AI models
ChatGPT 中文指南🔥，ChatGPT 中文调教指南，指令指南，应用开发指南，精选资源清单，更好的使用 chatGPT 让你的生产力 up up up! 🚀
Python 开源项目之「自学编程之路」，保姆级教程：AI实验室、宝藏视频、数据结构、学习指南、机器学习实战、深度学习实战、网络爬虫、大厂面经、程序人生、资源分享。
A paper list of object detection using deep learning.
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Lab Materials for MIT 6.S191: Introduction to Deep Learning
A collection of libraries to optimise AI model performances
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
Gorgonia is a library that helps facilitate machine learning in Go.
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
A general-purpose encoder-decoder framework for Tensorflow
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"
This repository is a compilation of free resources for learning Data Science.
Curated list of Python resources for data science.
:man: Code for "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression"
Simple PyTorch Tutorials Zero to ALL!
Debugging, monitoring and visualization for Python Machine Learning and Data Science
OpenBot leverages smartphones as brains for low-cost robots. We have designed a small electric vehicle that costs about $50 and serves as a robot body. Our software stack for Android smartphones supports advanced robotics workloads such as person following and real-time autonomous navigation.
List of articles related to deep learning applied to music
A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks
It is open source ebook about TensorFlow kernel and implementation mechanism.
Learning Chinese Character style with conditional GAN
Deep neural network to extract intelligent information from invoice documents.
Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)
A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code
A curated list of amazingly awesome Cybersecurity datasets
Collaboration with wangxupeng(https://github.com/wangxupeng)
Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch
Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.
Self-contained Machine Learning and Natural Language Processing library in Go
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)
[UNMAINTAINED] Automated machine learning for analytics & production
Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.
High-level Deep Learning Framework written in Kotlin and inspired by Keras
Multi-class confusion matrix library in Python
A Python Library for Graph Outlier Detection (Anomaly Detection)
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
The collaboration workspace for Machine Learning
Android TensorFlow MachineLearning Example (Building TensorFlow for Android)
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.