TensorFlow 2.X Tutorials
dragen1860
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码,实战教程。
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Results: 65
dragen1860
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码,实战教程。
KevinMusgrave
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
TarrySingh
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP…
XinJingHao
Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SA…
pytorch
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
pytorch
PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT
pytorch
Data manipulation and transformation for audio signal processing, powered by PyTorch
meta-pytorch
A lightweight library for PyTorch training tools and utilities
pytorch
Datasets, Transforms and Models specific to Computer Vision
ultralytics
Ultralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite
DLR-RM
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
pytorch
On-device AI across mobile, embedded and edge for PyTorch
pyro-ppl
Deep universal probabilistic programming with Python and PyTorch
bitsandbytes-foundation
Accessible large language models via k-bit quantization for PyTorch.
pytorch
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
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