ai-natural-language-processing-lab Goto Github PK

datablations-scaling-data-constrained-language-models

Scaling Data-Constrained Language Models

dd-glove-train-time-debiasing-algorithm-to-learn-glove-word-embeddings

Repository for the implementation and evaluation of DD-GloVe, a train-time debiasing algorithm to learn GloVe word embeddings by leveraging dictionary definitions.

deckard-minecraft-agent-uses-knowledge-from-large-language-models

Official implementation of the DECKARD Agent from the paper "Do Embodied Agents Dream of Pixelated Sheep?"

deep-learning-for-nlp-resources

List of resources to get started with Deep Learning for NLP.

deep-learning-nlp

:satellite: Organized Resources for Deep Learning in Natural Language Processing

deep-nlp

Natural Language Processing with Deep Learning

deep-q-learning

Tensorflow implementation of Deepminds dqn with double dueling networks

deep-reinforcement-learning-for-dialogue-generation-in-tensorflow

Deep-Reinforcement-Learning-for-Dialogue-Generation-in-tensorflow

deep-text-recognition-benchmark

Text recognition (optical character recognition) with deep learning methods.

deep-voice-conversion

Deep neural networks for voice conversion (voice style transfer) in Tensorflow

deepchatmodels

Conversation models in TensorFlow. (website removed)

deeplearning-nlp

Introduction to Deep Learning for Natural Language Processing

deepnlp

딥러닝 NLP

deeppavlov

An open source library for deep learning end-to-end dialog systems and chatbots.

deepproof

Deep spelling/grammar checker

deeprl-agents

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

deepspeech

A TensorFlow implementation of Baidu's DeepSpeech architecture

deepvoice3

Tensorflow Implementation of Deep Voice 3

denoiser-real-time-speech-enhancement

Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.

densediffusion-training-free-text-to-image-generation

Official Pytorch Implementation of DenseDiffusion (ICCV 2023)

depression-analysis-twitter

dialogflow-chatbot

dialogflow-dotnet-client

.NET framework for Dialogflow

dialogflow-examples

Code examples from my Youtube Tutorials on Google Dialogflow

dialogflow-javascript-client

JavaScript Web SDK for Dialogflow

dialogflow-python-client-v2

Python client for Dialogflow: Design and integrate a conversational user interface into your applications and devices.

dialogflow-web-v2

Dialogflow Web Integration. Rich Components, Actions on Google and more

discriminative_class_token-text-to-image-diffusion-models

dl-for-chatbot

Deep Learning / NLP tutorial for Chatbot Developers

dna-gpt