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A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.
Build your neural network easy and fast, 莫烦Python中文教学
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
very easy implementation of dueling DQN in pytorch
Siamese and triplet networks with online pair/triplet mining in PyTorch
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Provide all my solutions and explanations in Chinese for all the Leetcode coding problems.
Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017
An annotated implementation of the Transformer paper.
Multilabel classification for Toxic comments challenge using Bert
Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course
Keras implementation of BERT with pre-trained weights
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
TensorFlow code and pre-trained models for BERT
Google AI 2018 BERT pytorch implementation
all kinds of text classification models and more with deep learning
吴恩达《深度学习》系列课程笔记及代码 | Notes in Chinese for Andrew Ng Deep Learning Course
Implementing Recurrent Neural Network from Scratch
Image augmentation for machine learning experiments.
Image augmentation library in Python for machine learning.
Keras code and weights files for popular deep learning models.
Face recognition with deep neural networks.
Face Renderer to perform Domain (Face) Specific Data Augmentation
This is a port of the Face Frontalization code provided by Hassner et al. at http:https://www.openu.ac.il/home/hassner/projects/frontalize
Face analysis mainly based on Caffe. At this time, face analysis tasks like detection, alignment and recognition have been done.