Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
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- investment
- finance
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Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
High-Resolution Image Synthesis with Latent Diffusion Models
OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.
Taming Transformers for High-Resolution Image Synthesis
Silero Models: pre-trained text-to-speech models made embarrassingly simple
An Open Source text-to-speech system built by inverting Whisper.
[ICLR 2023] ReAct: Synergizing Reasoning and Acting in Language Models
[CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering
A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.
MARS5 speech model (TTS) from CAMB.AI
NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning
The Classiq Library is the largest collection of quantum algorithms and applications. It is the best way to explore quantum computing software. We welcome community contributions to our Library 🙌
Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.
Synthetic data generators for tabular and time-series data
Unofficial Parallel WaveGAN (+ MelGAN & Multi-band MelGAN & HiFi-GAN & StyleMelGAN) with Pytorch
Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.
Cleora AI is a general-purpose open-source model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data. Created by Synerise.com team.
Exploring the space of drug combinations to discover synergistic drugs using Active Learning
Signal generators ( AD9833, AD9834, AD9850, ADF4351) tools box.