#python #bounding_boxes #computer_vision #data_augmentation #data_visualization #deep_learning #deep_neural_networks #image_processing #k_means #mean_average_precision #numpy #object_detection #pandas #performance_visualization #pretrained_weights #python3 #random_weights #tensorflow2 #train #yolo #yolov3

https://github.com/emadboctorx/yolov3-keras-tf2

#python #convolutional_neural_networks #deep_learning #imagenet #jax #pytorch #tensorflow2 #transfer_learning

https://github.com/google-research/big_transfer

#jupyter_notebook #dataset_analysis #deep_learning #gantts #glow_tts #melgan #multiband_melgan #python #pytorch #speaker_encoder #speech #tacotron #tacotron2 #tensorflow2 #text_to_speech #tts #vocoder

https://github.com/mozilla/TTS

#python #align_tts #deep_learning #glow_tts #hifigan #melgan #melgan_stft #pytorch #speaker_encoder #speaker_encodings #speech #tacotron #tensorflow2 #text_to_speech #tts #vocoder

https://github.com/coqui-ai/TTS

#jupyter_notebook #curriculum #deep_learning #deep_neural_networks #tensorflow #tensorflow_course #tensorflow_tutorials #tensorflow2

https://github.com/mrdbourke/tensorflow-deep-learning

#jupyter_notebook #computer_vision #deep_learning #drug_discovery #forecasting #large_language_models #mxnet #nlp #paddlepaddle #pytorch #recommender_systems #speech_recognition #speech_synthesis #tensorflow #tensorflow2 #translation

This repository provides top-quality deep learning examples that are easy to train and deploy on NVIDIA GPUs. It includes a wide range of models for computer vision, natural language processing, recommender systems, speech to text, and more. These examples are updated monthly and come in Docker containers with the latest NVIDIA software, ensuring the best performance. The models support multiple GPUs and nodes, and some are optimized for Tensor Cores, which can significantly speed up training. This makes it easier for users to achieve high accuracy and performance in their deep learning projects.

https://github.com/NVIDIA/DeepLearningExamples