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article.eikonapi.python.predictionofmandatargetstogenerateabnormalreturns

Prediction of M&A targets to generate abnormal returns

assignment-data-files

audio-classification-streamlit

Source code for article about modelling audio as images in neural networks

audiocraft

Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.

audio_record

augan

Au data synthesis

augly

A data augmentations library for audio, image, text, and video.

austrian-quant

Quantitative trading algorithms with Python and Quantopian.

auto-sklearn-tutorial

Small tutorial on auto-sklearn which is an automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator.

autoai

AI automation library that allows automatic training for a large amount of differents models and automatic data preprocessing

autokeras-classification

AutoKeras is an open-source library for performing AutoML for deep learning models based on Keras.In this video, I'll show you how you can use AutoKeras for Classification.

autokeras-regression

AutoKeras is an open-source library for performing AutoML for deep learning models based on Keras.In this video, I'll show you how you can use AutoKeras for Regression.

avatarify-python

Avatars for Zoom, Skype and other video-conferencing apps.

avatars4all

Live real-time avatars from your webcam in the browser. No dedicated hardware or software installation needed. A pure Google Colab wrapper for live First-order-motion-model, aka Avatarify in the browser. And other Colabs providing an accessible interface for using FOMM, Wav2Lip and Liquid-warping-GAN with your own media and a rich GUI.

awesome-explainable-ai

A collection of research materials on explainable AI/ML

awesome-gan-for-medical-imaging

Awesome GAN for Medical Imaging

awesome-power-bi

Awesome Power BI

awesome-vaes

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

bark-with-voice-clone

🔊 Text-prompted Generative Audio Model - With the ability to clone voices

batch-normalization-demo

In this tutorial, I'll show how Batch normalization can be used for improving the speed, performance, and stability for Neural Networks.

benchmarks

A benchmark framework for Tensorflow

bert-topic-modeling

COVID19 BERT-Topic-Modeling using BERT sentence embeddings

bertopic

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

bicyclegan-keras

BicycleGAN Implemented In Keras

bits_recommendation_system

book-viz

Visualizing multilevel structure in books with sentence embeddings.

bounding-box-using-segmentation

Image segmentation

brain-mri-generation-using-gans

Generation missing MRI using GANs - master thesis from Politechnic of Milan

brain-tumor-segmentation-and-survival-prediction-using-deep-neural-networks

Use of state of the art Convolutional neural network architectures including 3D UNet, 3D VNet and 2D UNets for Brain Tumor Segmentation and using segmented image features for Survival Prediction of patients through deep neural networks.

brand_car_dashboard