Trending repositories for topic tensorflow
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
The free and privacy-friendly screen recorder with no limits 🎥
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Clone a voice in 5 seconds to generate arbitrary speech in real-time
An Open Source Machine Learning Framework for Everyone
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
Visualizer for neural network, deep learning and machine learning models
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-in...
ncnn is a high-performance neural network inference framework optimized for the mobile platform
applying multi-agent reinforcement learning for highway-merging autonomous vehicles
⚡️SwanLab: your ML experiment notebook. 你的AI实验笔记本，跟踪与可视化你的机器学习全流程
A beginner's roadmap to self studying Machine Learning and Artificial Intelligence
An end-to-end signature verification system to extract, clean and verify signatures in documents. Signatures are detected using YOLOv5. Noise is cleaned using a CycleGAN approach and verified. Keras /...
Offline Speech Recognition with OpenAI Whisper and TensorFlow Lite for Android
Distributed Machine Learning Patterns from Manning Publications by Yuan Tang https://bit.ly/2RKv8Zo
SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach
A Full Stack ML (Machine Learning) Roadmap involves learning the necessary skills and technologies to become proficient in all aspects of machine learning, including data collection and preprocessing,...
Self-Created Tools to convert ONNX files (NCHW) to TensorFlow/TFLite/Keras format (NHWC). The purpose of this tool is to solve the massive Transpose extrapolation problem in onnx-tensorflow (onnx-tf)....
股票AI操盘手：从学习、模拟到实盘，一站式平台。包含股票知识、策略实例、因子挖掘、传统策略、机器学习、深度学习、强化学习、图网络、高频交易、C++部署和聚宽实例代码等，可以方便学习、模拟及实盘交易
Contextual Encoder-Decoder Network for Visual Saliency Prediction [Neural Networks 2020]
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
An Open Source Machine Learning Framework for Everyone
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
The free and privacy-friendly screen recorder with no limits 🎥
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Clone a voice in 5 seconds to generate arbitrary speech in real-time
Visualizer for neural network, deep learning and machine learning models
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
ncnn is a high-performance neural network inference framework optimized for the mobile platform
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-in...
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
Tools to Design or Visualize Architecture of Neural Network
⚡️SwanLab: your ML experiment notebook. 你的AI实验笔记本，跟踪与可视化你的机器学习全流程
applying multi-agent reinforcement learning for highway-merging autonomous vehicles
Offline Speech Recognition with OpenAI Whisper and TensorFlow Lite for Android
A library that includes Keras3 layers, blocks and models with pretrained weights, providing support for transfer learning, feature extraction, and more.
An end-to-end signature verification system to extract, clean and verify signatures in documents. Signatures are detected using YOLOv5. Noise is cleaned using a CycleGAN approach and verified. Keras /...
Lightweight & fast OCR models for license plate text recognition.
A model for short-term precipitation forecasting based on radar data
A Python-based computer vision and AI system for skin disease recognition and diagnosis. Led end-to-end project pipeline, including data gathering, preprocessing, and training models. Utilized Keras, ...
Deep Learning Simplified is an Open-source repository, containing beginner to advance level deep learning projects for the contributors, who are willing to start their journey in Deep Learning. Devfol...
Dynamic and static models for real-time facial emotion recognition
A Full Stack ML (Machine Learning) Roadmap involves learning the necessary skills and technologies to become proficient in all aspects of machine learning, including data collection and preprocessing,...
It's able to detect 33 type of leaf diseases by using Deep learning.. I use transfer learning on the project. For More Information read my code.
ThereForYou: Your mental health ally. Kai, our AI assistant, offers compassionate support. Track your mood trends, find solace in a secure community, and access crisis resources swiftly. We're here to...
A beginner's roadmap to self studying Machine Learning and Artificial Intelligence
Distributed Machine Learning Patterns from Manning Publications by Yuan Tang https://bit.ly/2RKv8Zo
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
An Open Source Machine Learning Framework for Everyone
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
The free and privacy-friendly screen recorder with no limits 🎥
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Visualizer for neural network, deep learning and machine learning models
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Clone a voice in 5 seconds to generate arbitrary speech in real-time
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
ncnn is a high-performance neural network inference framework optimized for the mobile platform
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-in...
Lab Materials for MIT 6.S191: Introduction to Deep Learning
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
A library that includes Keras3 layers, blocks and models with pretrained weights, providing support for transfer learning, feature extraction, and more.
Deep Learning Simplified is an Open-source repository, containing beginner to advance level deep learning projects for the contributors, who are willing to start their journey in Deep Learning. Devfol...
A Full Stack ML (Machine Learning) Roadmap involves learning the necessary skills and technologies to become proficient in all aspects of machine learning, including data collection and preprocessing,...
Offline Speech Recognition with OpenAI Whisper and TensorFlow Lite for Android
A beginner's roadmap to self studying Machine Learning and Artificial Intelligence
Dynamic and static models for real-time facial emotion recognition
Machine Learning inference engine for Microcontrollers and Embedded devices
It's able to detect 33 type of leaf diseases by using Deep learning.. I use transfer learning on the project. For More Information read my code.
Collection of free Notes,Courses,Videos,Projects,Articles and Repos Links To learn Machine learning ,Deep learning,Python,SQL,CNN,NLP,GAN,GNN,Transfomers,Flask,Django,and End to End Machine learning P...
⚡️SwanLab: your ML experiment notebook. 你的AI实验笔记本，跟踪与可视化你的机器学习全流程
This project utilizes PyQt5, YOLOv8, and TensorFlow for vehicle detection and identification, including speed monitoring and fine issuance. It features a user-friendly interface and contributes to tra...
Handwriting OCR for Vietnamese Address using state-of-the-art CRNN model implemented with Tensorflow. This was a challenge proposed by the Cinnamon AI Marathon.
A flutter plugin for OnnxRuntime provides an easy, flexible, and fast Dart API to integrate Onnx models in flutter apps across mobile and desktop platforms.
The Super-Resolution for Renewable Resource Data (sup3r) software uses generative adversarial networks to create synthetic high-resolution wind and solar spatiotemporal data from coarse low-resolution...
🔥 High-performance TensorFlow Lite library for React Native with GPU acceleration
Examples of python neural net and ML stock prediction methods with sample stock data.
Implementation of the ScreenAI model from the paper: "A Vision-Language Model for UI and Infographics Understanding"
A Full Stack ML (Machine Learning) Roadmap involves learning the necessary skills and technologies to become proficient in all aspects of machine learning, including data collection and preprocessing,...
Offline Speech Recognition with OpenAI Whisper and TensorFlow Lite for Android
Integrating Mamba/SSMs with Transformer for Enhanced Long Context and High-Quality Sequence Modeling
YOLOv8-3D is a LowCode, Simple 2D and 3D Bounding Box Object Detection and Tracking , Python 3.10
A curated reading list of research in Adaptive Computation, Dynamic Compute & Mixture of Experts (MoE).
Neural network inference template for real-time cricital audio environments - presented at ADC23
A beginner's roadmap to self studying Machine Learning and Artificial Intelligence
ThereForYou: Your mental health ally. Kai, our AI assistant, offers compassionate support. Track your mood trends, find solace in a secure community, and access crisis resources swiftly. We're here to...
A flutter plugin for OnnxRuntime provides an easy, flexible, and fast Dart API to integrate Onnx models in flutter apps across mobile and desktop platforms.
A browser extension that allows you to clean up your Twitter feed by getting rid of unwanted replies on Twitter. Say goodbye to onlyfans links, engagement bait, and more.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Clone a voice in 5 seconds to generate arbitrary speech in real-time
An Open Source Machine Learning Framework for Everyone
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Visualizer for neural network, deep learning and machine learning models
The free and privacy-friendly screen recorder with no limits 🎥
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
RETVec is an efficient, multilingual, and adversarially-robust text vectorizer.
Tools for easing the handoff between AI/ML and App/SRE teams.
Implementation of the ScreenAI model from the paper: "A Vision-Language Model for UI and Infographics Understanding"
This repos contains notebooks for the Advanced Solutions Lab: ML Immersion
A beginner's roadmap to self studying Machine Learning and Artificial Intelligence
Experiment tracking server focused on speed and scalability
YOLOv8-3D is a LowCode, Simple 2D and 3D Bounding Box Object Detection and Tracking , Python 3.10
Collection of free Notes,Courses,Videos,Projects,Articles and Repos Links To learn Machine learning ,Deep learning,Python,SQL,CNN,NLP,GAN,GNN,Transfomers,Flask,Django,and End to End Machine learning P...
ACG2vec (Anime Comics Games to vector) are committed to creating a playground that combines ACG and Deep learning.（文本语义检索、以图搜图、语义搜图、图片超分辨率、推荐系统）
A repository for surgical action triplet dataset. Data are videos of laparoscopic cholecystectomy that have been annotated with <instrument, verb, target> labels for every surgical fine-grained activi...
Molemi App is a AI (Deep Learning) based plant disease recognition application that can identify up to 10 various types of plant diseases by analyzing plant leaves.
Machine learning model for predicting Serie A players performance in a match, in terms of Fantacalcio (italian fantasy football) scores.
Deep Learning Specialization course offered by DeepLearning.AI on Coursera
Real-time Sign Language Gesture Recognition Using 1DCNN + Transformers on MediaPipe landmarks
Examples of python neural net and ML stock prediction methods with sample stock data.
Presents comprehensive benchmarks of XLA-compatible pre-trained models in Keras.