TensorFlow is an open source library that was created by Google. It is used to design, build, and train deep learning models.
This repository includes tutorials on how to use the TensorFlow estimator APIs to perform various ML tasks, in a systematic and standardised way
Export Hugging Face models to Core ML and TensorFlow Lite
Kaggle | Web Traffic Forecasting 📈
A Real-time Mario Kart 64 AI using ConvNets.
A sign language interpreter using live video feed from the camera.
All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN
Real-time portrait segmentation for mobile devices
A Implementation of SpecAugment with Tensorflow & Pytorch, introduced by Google Brain
Synthetic data generators for structured and unstructured text, featuring differentially private learning.
🖺 OCR using tensorflow with attention
ROS package for dynamic obstacle avoidance for ground robots trained with deep RL
Putting TensorFlow back in PyTorch, back in TensorFlow (differentiable TensorFlow PyTorch adapters).
In this repository, I have developed the entire server-side principal architecture for real-time stock market prediction with Machine Learning. I have...
Tensorflow seq2seq Implementation of Text Summarization.
A Comprehensive Reinforcement Learning Zoo for Simple Usage 🚀
Training code for facial landmark detection based on deep convolutional neural network.
Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
Flutter plugin for TensorFlow Lite
Machine Learning inference engine for Microcontrollers and Embedded devices
Một cuốn sách về Học Sâu đề cập đến nhiều framework phổ biến, được sử dụng trên 300 trường Đại học từ 55 đất nước bao gồm MIT, Stanford, Harvard, và C...
Tensorflow 2.x implementation of the DTLN real time speech denoising model. With TF-lite, ONNX and real-time audio processing support.
👀 Use machine learning in JavaScript to detect eye movements and build gaze-controlled experiences.
AI与数据科学各类工具库速查表与参考代码
Kaggle datascience bowl 2017
Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.
[CVPR19] FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation from a Single Image
Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.
Classify camera images locally using TensorFlow models
Pretrained ELECTRA Model for Korean
使用tensorflow和cnn做的图像识别,对四种花进行了分类。
Additional utils and helpers to extend TensorFlow when build recommendation systems, contributed and maintained by SIG Recommenders.
Keras beit,caformer,CMT,CoAtNet,convnext,davit,dino,efficientdet,edgenext,efficientformer,efficientnet,eva,fasternet,fastervit,fastvit,flexivit,gcvit,...
📘 The experiment tracker for foundation model training
LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018 (Spotlight paper, 6.6%)
Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations
Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019
💎 Detect , track and extract the optimal face in multi-target faces (exclude side face and select the optimal face).
语音识别理论、论文和PPT
💬 Slides and supplementary codes for my talk 'Debugging Tips on TensorFlow' (2016)
Image Super-Resolution Using Deep Convolutional Networks in Tensorflow https://arxiv.org/abs/1501.00092v3
🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
Fast Differentiable Sorting and Ranking
Code and files to go along with CS329s machine learning model deployment tutorial.
A Wide Range of Custom Functions for YOLOv4, YOLOv4-tiny, YOLOv3, and YOLOv3-tiny Implemented in TensorFlow, TFLite, and TensorRT.
Completed the CS231n 2017 spring assignments from Stanford university
CRF-RNN Keras/Tensorflow version
Generative Adversarial Text to Image Synthesis / Please Star -->
Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.
Computer vision based ML training data generation tool :rocket:
Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.